Senior Data Engineer

Tango • Coppell, TX

4h • Hybrid

About The Position

We are seeking a highly skilled Senior Data Engineer to own and evolve our data pipelines, production databases, and overall data quality framework across our enterprise Energy & Sustainability analytics platform. This role will ensure the reliability, scalability, and integrity of the data powering customer reporting, real-time analytics, carbon accounting, and mission-critical workflows. You will work closely with Engineering, Product, Analytics, and DevOps teams to design, build, and continuously improve our data infrastructure—spanning ingestion, transformation, warehousing, and quality assurance.

Requirements

• 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.

Nice To Haves

• Experience with time-series data and high-volume ingestion pipelines.
• Background in the Energy, Sustainability, or IoT data domain.

Responsibilities

• 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.
• 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.
• 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.).

Benefits

• Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value.
• Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being.
• Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance.
• Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees