Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education

Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.

Company Overview:

Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.

Your Role:

The Senior Data Engineer sits at the center of the agency's Data and Analytics function, connecting every paid media platform and CRM the agency touches into a single, reliable source of truth. You'll own the full path data takes: from a client's ad accounts and CRM, through Adverity, into a BigQuery warehouse, through modular dbt/Dataform transformations, and out to the Looker Studio dashboards and automated Google Sheets reports the team and its partners rely on daily. Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the automated reporting suite that makes that growth possible without sacrificing data quality or client trust.

You'll:

- Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms (Meta, Google Ads, LinkedIn, TikTok, programmatic) into Adverity, build custom Python connectors for anything not natively supported, and architect scalable pipelines from source system through to dashboard

- Own CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouse

- Own the data warehouse — route, optimize, and store raw and processed data in Google BigQuery; design efficient schemas for complex, multi-source marketing data (granularity, normalization, slowly changing dimensions); manage partitioning, clustering, and storage strategy to control query cost and performance

- Own transformation & mapping — build SQL schemas that map, blend, and organize multi-channel data accurately for each client, in modular, version-controlled, documented dbt or Dataform pipelines, with standardized naming conventions and metric definitions across platforms and clients

- Own CI/CD & data segregation — maintain CI/CD pipelines (GitHub Actions, automated testing) for robust, version-controlled releases, and enforce strict data segregation across multi-client environments

- Enable the reporting layer — create clean, performant data views built specifically for fast Looker Studio dashboards and automated Google Sheets reports, and partner with the Data and Analytics Manager and client teams to translate reporting requirements into warehouse models

- Drive data quality — monitor pipeline health, resolve API breaks, minimize latency, implement validation frameworks and automated testing, troubleshoot discrepancies to root cause across source/warehouse/BI layers, and proactively flag data quality risks to leadership

You Bring:

- 5+ years of hands-on data engineering experience, ideally in a marketing or agency environment

- Strong experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform (Fivetran, Supermetrics, Funnel)

- Intermediate to advanced SQL, with proven BigQuery experience in transformation, partitioning, and modeling

- Expertise in dbt or Dataform, managing modular, version-controlled, documented SQL transformation pipelines

- Python proficiency for custom API connections and pipeline automation

- Experience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot)

- A deep understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, with a proven track record of structuring data to optimize Looker Studio performance

- Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation

- An analytical, solution-driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non-technical audiences — education marketing experience (traditional or online) is especially valued

Bonus Points:

- Experience integrating AI-driven insights or machine learning models into marketing data pipelines to sharpen predictive analytics and data utility

- Familiarity using AI or LLM tools to optimize performance forecasting, automated audience segmentation, or marketing workflows

- Experience connecting, managing, and maintaining APIs for generative AI platforms within a marketing data architecture

- Experience using AI/ML-driven anomaly detection to monitor pipelines and proactively flag data quality issues

What’s Offered:

- Remote role with the flexibility that comes with a distributed, async-friendly team

- Competitive compensation based on experience and location

- A pivotal, high-visibility seat on a scaling Data & Analytics team, with real ownership over the agency's reporting infrastructure

- The chance to build the data backbone for an agency whose partners are education and nonprofit organizations working to build a better world

- A culture built around finding a better way, playing as a team of A-players, and treating results as the engine rather than the goal

- Direct impact: the pipelines and models you build directly shape how partners see (and trust) their own performance data

Interview Process:

- 1️⃣ Application Review (resume + a few questions)

- 2️⃣ Screening Call with Atomic HR

- 3️⃣ Hiring Team Interview (walkthrough of a pipeline or data model you've built)

- 4️⃣ Technical Assessment (a real-world data engineering case study)

- 5️⃣ Final Interview with company leadership

**Requisition ID: **
+ **Relocation Authorized:**
+ **Telework Type: Full-Time Office/Project**
+ **Work Location: San Juan, AR**
# Extraordinary teams building inspiring projects:
Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.
Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations.
Core to Bechtel is our Vision, Values and Commitments . They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report .
# Country Overview:
**Argentina** **: Building Our Presence**
Bechtel is building a strong local organization in Argentina, partnering with industry, government, suppliers, and communities to support our customers and projects. We're bringing global expertise to develop local talent, strengthen regional capabilities, and deliver lasting value - establishing a trusted, long-term presence that supports sustainable growth and positions Argentina as a cornerstone market for mining, energy, and infrastructure development.
# Job Summary:
Manage the obtaining, maintenance and monitoring of environmental and sectoral permits that enable the execution of the project in Argentina, ensuring that the engineering design, constructive planning and field activities comply with the applicable national and provincial regulations, with the commitments assumed before the authority and with the environmental standards of the client.
The position acts as a bridge between engineering and the regulatory authority: it translates the legal requirements into verifiable design criteria,



anticipates the environmental restrictions that condition the layout and the construction sequence, and maintains a critical permit route aligned with the project schedule. Its performance is measured by the absence of regulatory detentions and by the technical quality of the information presented to the competent bodies.
# Major Responsibilities:
**Permission management**
+ Preparing and keeping updated the project permits matrix, identifying competent body, submission requirements, legal deadlines and vigente processing deadlines.
Prepare, review and submit the Environmental Impact Report and its biennial updates, along with the supporting technical documentation required by the provincial mining authority.
+ Managing the associated sectoral permits: water use and concession, effluent dumping, emissions into the atmosphere, hazardous waste management, soil movement, intervention of native vegetation and transport of hazardous substances.
+ Maintaining technical dialogue with provincial and national enforcement authorities, responding to observations, requests for additional information and audits.
+ Timely alert the permits that constitute a critical route and propose sequencing alternatives when a regulatory deadline compromises the schedule.
# Environmental studies and assessment
+ Defining the scope of the environmental baselines - air quality, noise, surface and groundwater, soils, flora, fauna, glaciers and periglacial environment, archaeology and socio-economic environment - and technically supervise the consulting firms that execute them.
+ Reviewing consultant deliverables verifying methodological sufficiency, representativeness of sampling and traceability of data before its incorporation into the file.
+ Evaluating environmental impacts of the project, propose mitigation and compensation measures, and verify that they are reflected in the design criteria and technical specifications.
+ Estimating hours, costs and deadlines of environmental studies for their incorporation into the project budget and program.
# Compliance, monitoring and interface with the project
+ Keeping track of environmental commitments derived from the Environmental Impact Statement and the permits granted, and periodically verify their compliance on the ground.
+ Providing the engineering disciplines with the environmental constraints applicable to the design - layout restrictions, exclusion areas, discharge limits and water management criteria - and verify their incorporation.
+ Preparing progress reports on the status of permits for the client and for the project management, with status, regulatory risks and mitigation actions.
+ Supporting the processes of citizen participation and relations with communities and local authorities, in coordination with the social area of the project and the client.
+ Issuing the environmental deliverables under the project's documentary control system, respecting the review scheme and the preparation, review and approval signatures.
# Regulatory framework of reference
+ Dominating the Argentine environmental regime and its federal articulation: the Nation sets the minimum protection budgets and the provinces, as holders of the original domain of natural resources, are the enforcement authority that grants the permits. The following list is the minimum core required: Law 25.675, Law 24.585; Law 26.639; Law 24.051, Law 25.688, Law 26.331, Law 25.743, Law 25.831, Law 27.520, ILO Convention 169 (Law 24.071).
# Education and Experience Requirements:
**Level 1:**
+ Requires a university degree in Environmental Sciences, Chemistry, Civil Engineering, Natural Resources, Geological Sciences or Biological Sciences, with professional registration in the corresponding jurisdiction, between 5 and 8 years of professional practice in environmental management and permits, with at least 3 years in mining, energy or infrastructure projects in Argentina.
+ A graduate degree, major or diploma in environmental management, environmental impact assessment or environmental law is desirable.
**Level 2:**
+ Requires a university degree in Environmental Sciences, Chemistry, Civil Engineering, Natural Resources, Geological Sciences or Biological Sciences, with professional registration in the corresponding jurisdiction, between 8 and 10 years of professional practice in environmental management and permits, with at least 5 years in mining, energy or infrastructure projects in Argentina.
+ A graduate degree, major or diploma in environmental management, environmental impact assessment or environmental law is desirable.
# Required Knowledge and Skills:
+ Verifiable participation in at least one complete cycle of environmental processing: preparation of the study, submission to the authority, response to observations and obtaining the approving resolution.
+ Experience in direct interaction with provincial and national public agencies, and in technical supervision of environmental consultancies.
+ Previous experience in EPC or EPCM environments is desirable, with exposure to document control, change control and management of interfaces between disciplines. Mastery of the Argentine environmental regime described in the previous section and ability to track its provincial regulations.
+ Environmental impact assessment methodologies, design of monitoring plans and environmental management programs; notions of modeling of air quality, noise and dispersion of pollutants.
+ Management of geographic information systems, advanced spreadsheets and project scheduling tools.
+ Native Spanish and intermediate or higher technical English, sufficient to read international standards and participate in meetings with multinational teams.
+ **The Documentary Organization:** Maintains complete, versioned and auditable files at all times.
+ **Integrity:** Does not sign or endorse information that it cannot endorse, even under deadline pressure.
+ **The technical rigor:** Supports each statement of the file in verifiable data and detects methodological weaknesses in third-party studies.
+ **Regulatory anticipation:** Identifies the permit that will become a critical route before it becomes one and activates management well in advance.
+ **The institutional communication:** Maintains a professional and traceable relationship with the authority; writes with legal and technical precision.
+ **The transversal work:** Translates environmental requirements into the language of engineering and negotiates solutions with the disciplines without compromising compliance.
+ Experience in metallic and/or non-metallic mining.
+ Experience in EPC/EPCM projects and knowledge of the AACE standard.
+ Knowledge of local design regulations.
# Total Rewards/Benefits:
For decades, Bechtel has worked to inspire the next generation of engineers and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards .
# Diverse teams build the extraordinary:
As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent.
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy.
**_Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information,



and any other characteristic protected by federal, state or local law._**
**_Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to_** ** ** **_._**

BigQuery

- Location: LATAM
- Work Model: 100% Remote
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- Engagement: Full-time

143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAM

- Location: LATAM
- Work Model: 100% Remote
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- English Level: B2 / C1
- Engagement: Full-time

Get to Know Darwoft

At Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.

We are a Latin American technology company with a people-first culture, strong professional standards, and a long-term partnership mindset. We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.

About the Project

We are partnering with an innovative cybersecurity company building a next-generation Identity Security and Identity Observability platform .

The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI-driven identities access systems across cloud, SaaS, network, endpoint, and on-premise environments .

At the core of the platform is a highly data-intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals . This information is processed to identify unusual access patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.

The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.

About the Role

We're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.

This is not a traditional backend or internal data engineering position.

You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.

You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .

A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time-to-production.

What You'll Be Doing

- Design, develop, and maintain production-grade data collectors, connectors, and ingestion services .
- Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems .
- Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.
- Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.
- Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources .
- Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices .
- Develop backend services primarily using Python and/or Go .
- Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
- Build and operate containerized services using Docker and Kubernetes .
- Deploy and integrate solutions across AWS, Azure, and GCP environments .
- Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
- Optimize ingestion performance, reliability, scalability, and operational efficiency.
- Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
- Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
- Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
- Contribute technical insights from real-world implementations to the product roadmap.
- Support production adoption and continuously improve time-to-value for enterprise customers.
- Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.

What You Bring

- 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
- Strong software development experience with:
- Python
- Go

- Strong experience designing and consuming REST APIs .
- Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems .
- Experience integrating complex enterprise systems and third-party platforms.
- Solid understanding of both SQL and NoSQL databases .
- Production experience with at least one major cloud platform:

- AWS
- Azure
- GCP

- Experience working with Docker and Kubernetes .
- Strong understanding of Git-based development workflows and CI/CD practices .
- Experience designing reliable, scalable, and production-ready distributed systems.
- Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
- Experience working directly with customers, stakeholders, or technical partners.
- Ability to translate complex customer requirements into pragmatic technical solutions.
- Strong communication skills and the ability to operate effectively in customer-facing technical conversations.
- High degree of autonomy and ownership when solving ambiguous technical problems.

Highly Relevant Experience

Experience with any of the following will be especially valuable:

- Identity and Access Management (IAM )
- Identity Providers (IdPs )
- Identity Security
- Cybersecurity platforms
- SIEM systems
- Security telemetry
- Network security
- Endpoint security
- SASE / Zero Trust environments
- Cloud security
- Large-scale event processing
- Streaming architectures

Integration Experience

Previous experience integrating APIs or data from platforms such as the following is highly valuable:

- AWS
- Microsoft Azure
- Google Cloud
- Microsoft Entra ID / Active Directory
- Okta
- Google Workspace
- Duo
- CrowdStrike
- Zscaler
- Palo Alto
- Microsoft Defender
- SIEM and security analytics platforms

Direct experience with every platform is not required. What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.

Nice to Have

- Experience with large-scale data processing or streaming platforms.
- Experience designing reusable connector SDKs or integration frameworks .
- Understanding of identity-related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non-human identities.
- Experience with security events, audit logs, network telemetry, or cloud activity data.
- Familiarity with event-driven and distributed system architectures.
- Experience deploying AI/ML-enabled applications.
- Exposure to LLMs, AI agents, or AI-powered security applications .
- Solution Architecture or Forward Deployed Engineering experience.
- Previous experience in cybersecurity startups or high-growth SaaS environments.

What Success Looks Like

Success in this role will be measured by your ability to:

- Deliver successful enterprise integrations and deployments.
- Reduce customer time-to-production.
- Build reliable and scalable ingestion solutions.
- Improve customer adoption and technical satisfaction.
- Resolve complex integration challenges efficiently.
- Turn customer-specific requirements into reusable platform capabilities.
- Contribute improvements that strengthen the scalability and flexibility of the core product.

What Darwoft Offers

- Contractor agreement with payment in USD
- 100% remote work
- Argentina's public holidays
- English classes
- Referral program
- Access to learning platforms

Explore this and other opportunities at: #J-18808-Ljbffr

📌 Remote Data Engineer - Marketing Analytics & BigQuery (Santa Fe)
🏢 Bluelight Consulting
📍 Santa Fe