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Senior Data Engineer
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-09-28
Listing for:
Hidden Jobs
Full Time
position Listed on 2026-09-28
Job specializations:
-
Software Development
SQL Developer, Data Engineering, AWS, Python
Job Description & How to Apply Below
This is a senior, hands‑on data engineering role on a small international team at a market intelligence and software company. The work centers on large-scale data processing, standardization, matching, and data quality, with end‑to‑end ownership from design through reliable production delivery. The position is fully remote across Latin America on a full‑time B2B contract.
Responsibilities- Design, build, and maintain scalable production data pipelines
- Ingest, process, and transform large volumes of data from multiple sources
- Develop solutions for data standardization, normalization, matching, and validation
- Build data quality controls and monitoring to catch malformed or inconsistent data
- Design reliable approaches to corrections, updates, reprocessing, and backfills
- Improve the architecture, scalability, reliability, and performance of the data platform
- Take end‑to‑end ownership of technical solutions and production quality while working with a small engineering team
- 4+ years of hands‑on data engineering experience with production data systems
- Strong Python skills
- Hands‑on experience with PySpark or Apache Spark for distributed data processing
- Strong experience building and maintaining ETL/ELT and ingestion pipelines
- Solid SQL and data modelling skills
- Experience with modern data platforms, data lakes, or lakehouse architectures
- Strong understanding of data quality, validation, monitoring, and reliability
- Ability to work independently, troubleshoot production issues, and own delivery
- Fluent English
- Delta Lake, MongoDB, or Databricks experience
- Background in data matching, reconciliation, deduplication, or complex standardisation
- Experience in start‑ups, scale‑ups, or small product engineering teams
- Docker, Linux, CI/CD, or related Dev Ops exposure
- Experience mentoring other engineers while remaining hands‑on
- Active use of AI coding or agent‑based development tools
- 100% remote from LATAM
- Full‑time B2B contract
- High level of technical ownership and autonomy
- Direct impact on architecture and product development
- Complex engineering challenges rather than narrowly scoped implementation work
- Small international team with minimal bureaucracy and direct communication
Position Requirements
10+ Years
work experience
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