Data Engineer (Marketing-oriented) | Remote for Marketing Agency for EducationOur client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors.
Since launching in ****, 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 ****, 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 dashboardOwn CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouseOwn 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 performanceOwn transformation & mapping — build SQon the company by safeguarding our global IP/domain reputation, minimizing blast radiuses, and ensuring zero-downtime mail operations across our entire infrastructure network.
Core Responsibilities
1. Infrastructure Management & High Availability
MTA Optimization: Maintain and configure core MTAs (Postfix , Postal ) and IMAP/POP3 servers (Dovecot ), ensuring graceful reloads over restarts to prevent dropping active connections.
Traffic Routing & Load Balancing: Utilize HAProxy and network routing protocols (like BGP via FRRouting ) to distribute outbound traffic and architect high-volume failover mechanisms.
Redundancy & Failover: Administer backend infrastructure databases (PostgreSQL replica setups) and maintain dedicated "Block" backup/archive servers to instantly take over the workload of a failed primary "Cube" server.
Architectural Segregation: Maintain strict workload isolation across our infrastructure network—separating standard nodes for mail stacks, specialized injection nodes (Postal), and separate archiving/backup systems to prevent high-volume senders from degrading performance.
2. Deliverability Engine & Authentication Protocol Architecture
Protocol Enforcement: Act as the absolute technical authority on DNS and authentication setups, maintaining flawless configurations for SPF (navigating the 10-lookup limit), DKIM (key rotation and forwarding protection), DMARC (safely driving policies toward p=reject), and BIMI .
Traffic Throttling: Implement automated, MTA-level dynamic throttling to handle 4xx deferrals instantly, preventing a single high-volume sender from triggering integral rate limits across our shared IP pools.
Warm-up Strategy: Design and guide automated IP/Domain Warm-up Plans for new infrastructure, managing incremental volume scaling over 2–4 week cycles.
3. Edge Security, Anti-Abuse & Incident Response
Outbound Spam Filtering: Configure and optimize Rspamd to actively scan, flag, and quarantine highly spammy content before it exits our network.
Edge Defense:



Deploy automated connection-dropping systems (Fail2Ban , custom SMTP blocker scripts) to mitigate authenticated attacks, brute-force attempts, and malicious traffic.
Blast Radius Mitigation: Program and maintain a dynamic IP pooling engine ("The Penalty Box") to instantly isolate accounts displaying poor metrics (bounces, FBL spikes) away from prime Tier-1 IP pools.
Blocklist Remediation: Act as the primary responder to major DNSBL (e.g., Spamhaus ) listings.
Leverage log analysis to locate the root cause account, plug the security leak, and submit expert delisting requests.
4. Observability & Monitoring
Log Shipping Architecture: Build and manage high-performance log aggregation pipelines using Vector to ship system and MTA data into a centralized repository for real-time auditing and incident response.
Network Auditing: Utilize IPAudit and custom tools to continuously scan for bandwidth anomalies, connection spikes, or compromised user credentials.
Dashboard Management: Actively monitor ISP infrastructure portals daily (Google Postmaster Tools , Microsoft SNDS , Yahoo Sender Hub ) along with third-party tracking tools (GlockApps , Validity/ReturnPath , MXToolbox , DMARCian ).
Requirements
Must-Have Technical Stack & Skills:
Systems Engineering Background: 5+ years of experience as a Linux Systems Administrator, DevOps, or Infrastructure Engineer with deep networking knowledge (TCP/IP, routing, ports, DNS management).
MTA Mastery: Expert-level proficiency configuring, debugging, and optimizing enterprise mail tools such as Postfix , Dovecot , or Postal .
Security & Filtering: Hands-on experience writing rules and maintaining mail-filtering/anti-abuse applications like Rspamd and Fail2Ban .
Observability Pipelines: Proven experience building or maintaining log pipelines using Vector or similar high-scale telemetry frameworks.
Infrastructure Automation: Experience implementing network routing layer tools (HAProxy , FRRouting ) and relational databases (PostgreSQL replication).
Certificate Management: Strong familiarity with automated Sas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
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📌 Data Engineer (Marketing-Oriented) | Remote For Marketing Agency For Education (Rincón de los Sauces)
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