> Markdown version of [/jobs/ext/2433352-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/2433352-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** TANGO ASSOC INC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Automation of Tests, Software Documentation, Code Review, Databases, Continuous Integration, Data as a Services, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Retention, Data Warehousing, Python (Programming Language), PostgreSQL, Online Analytical Processing, Nagios, Online Transaction Processing, Performance Tuning, SQL Databases, Datadog, Data Ingestion, Database Optimization, Semi-structured Data, Git Flow, Data Analytics, Star Schema, Cloudwatch, Data Pipelines, Microservices - **Published:** August 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d238e5b67ffdea1b ## About the Role Required * 5+ years of professional experience as a Data Engineer or similar role. * Strong expertise with Python and SQL, and modern data engineering frameworks. * Deep experience with AWS data services (Glue, Lambda, Step Functions, S3, Redshift, RDS/Postgres). * Hands-on experience with ETL/ELT pipeline design, orchestration, and performance tuning. * Strong experience with production databases (Postgres, TimescaleDB, etc.). * Solid understanding of data modeling (OLTP, OLAP/star schema), warehousing, and analytics workloads. * Experience with data quality frameworks, validation, and monitoring. * Production experience with dbt: building and testing models, managing sources and lineage, structuring a project across staging/intermediate/mart layers and running it in CI. * Experience with Git-based workflows and CI/CD for data: pull requests, code review and automated testing of transformations. Preferred * Experience with time-series data and high-volume ingestion pipelines. * Background in the Energy, Sustainability, or IoT data domain. * dbt Semantic Layer or comparable metrics-layer experience (Cube, LookML, Omni semantic models). ## Description Data Pipeline Ownership * Design, build, and maintain scalable ETL/ELT pipelines using AWS-native services (Glue, Lambda, Step Functions, S3). * Develop automated workflows to ingest, transform, and validate large volumes of structured and semi-structured data. * Monitor pipeline performance, reliability, and cost efficiency; implement proactive improvements. * Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that reaches the warehouse is modeled in dbt and validated against source. Database & Warehouse Management * Manage and optimize production databases (Postgres, TimescaleDB) and our OLAP data warehouse (Redshift, etc). * Implement database performance tuning, indexing strategies, query optimizations, and schema evolution best practices. * Oversee data retention, partitioning, and backup/restore strategies. Data Quality & Governance * Build automated data validation frameworks and anomaly detection, anchored in dbt tests and source-reconciliation checks.. * Establish and enforce data quality SLAs across ingestion and reporting layers. * Maintain metadata, lineage, and documentation standards to support auditability (SOC 1/2, ISO). Cross-Functional Collaboration * Work with application engineering teams to design APIs, microservices, and data contracts. * Support Product and Data Analytics teams with curated datasets and high-performance query patterns. * Troubleshoot production issues and improve observability using monitoring and alerting tools (CloudWatch, Datadog, etc.). ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Why Git Still Matters](https://www.wearedevelopers.com/videos/100288-why-git-still-matters) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)