Senior Data Engineer

Let’sTango!

Where Innovation Meets Impact.

AtTango we’re all about helping businesses make smarter decisions through powerful technology, insightful data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a tech wizard, or a customer champion, there's a place for you on our team. We believe work should be meaningfulandfun — so if you're ready to make a difference while enjoying the journey, come join us and let'sTango!

We are looking for a Senior Data Engineer to join our dynamic and growing R&D team.

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 Dev Ops teams to design, build, and continuously improve our data infrastructure—spanning ingestion, transformation, warehousing, and quality assurance.

• 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.

• Manage and optimize production databases (Postgres, Timescale
  
  DB) 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.

• 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).

• 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 (Cloud Watch, Datadog, etc.).

• 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, Timescale
  
  DB, etc.).
• Solid understanding of data modeling (OLTP, OLAP/star schema), warehousing, and analytics workloads.
• Experience with data quality frameworks, validation, and monitoring.

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

We’re committed to creating an environment where you can thrive—professionally and personally. Our offerings include:

• 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.

Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status.

Base pay offered is contingent on qualifications and other operational considerations. Base pay is just one piece of the full compensation structure offered  this pay range is outside of your expectations, we still encourage you to apply and have a conversation with us.