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Tango · 2 days ago

Senior Data Engineer (ETL/AWS)

Dallas, TX

Full-time

Hybrid

Senior Level

5+ years exp

Tango is focused on helping businesses make smarter decisions through technology and data collaboration. They are seeking a Senior Data Engineer to own and develop data pipelines and ensure data quality across their Energy & Sustainability analytics platform.

Facility ManagementManagement ConsultingSaaSSoftware

H1B Sponsor Likely

Responsibilities

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, 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

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 (CloudWatch, Datadog, etc)

Qualification

AWS data servicesETL/ELT pipeline designPythonSQLPostgreSQLData quality frameworksData modelingCollaborationProblem-solvingCommunication

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 (PostgreSQL preferred)

Solid understanding of data modeling (OLTP, OLAP/star schema), warehousing, and analytics workloads

Experience with data quality frameworks, validation, and monitoring

Preferred

Experience with time-series data and high-volume ingestion pipelines preferred

Background in the Energy, Sustainability, or IoT data domain preferred

Benefits

Health, dental, and vision insurance

A 401(k) plan with company match

Generous paid time off

Company

Tango

Tango builds software solutions that help to unite real estate, lease accounting and facilities management software into a single platform.

Founded in 2008

Dallas, Texas, USA

201-500 employees

https://tangoanalytics.com/

H1B Sponsorship

Tango has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (17)

2024 (18)

2023 (19)

2022 (17)

2021 (21)

2020 (25)