Senior Data Engineer

🔥 0 minutes ago

🗽 New York, Ohio – Remote

🗽 New York – Remote 🏈 Ohio – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Workana

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

👥 HR Tech

🏪 Marketplace

🎯 Recruiter

💰 Series C on 2024-02

HR Tech • Marketplace • Recruitment

Workana is a leading platform in Latin America that connects businesses with remote talent across various disciplines. With over a decade in the market, Workana specializes in providing businesses with pre-selected and certified developers and freelancers for specific time periods or project-based tasks. The platform supports hiring in diverse fields such as IT & Programming, Design & Multimedia, Writing & Translation, and more, offering payment flexibility in local currencies or USD. Workana ensures satisfaction with protected payments and a satisfaction guarantee, aiming to grow businesses quickly and sustainably by leveraging the best remote talent available.

📋 Description

• Architect, build, and maintain production-grade data platforms and scalable ELT/ETL pipelines • Ingest, transform, and model complex structured and unstructured scientific and clinical datasets • Define data architecture patterns, engineering standards, and best practices across the team • Collaborate with scientists, ML engineers, and business stakeholders to turn domain needs into data solutions • Design data infrastructure supporting machine learning training, inference, and analytics workloads • Ensure data quality, lineage, reproducibility, security, and system observability • Optimize pipeline performance, architectural bottlenecks, and infrastructure cost efficiency • Participate in technical design discussions, code reviews, and architectural decision-making

🎯 Requirements

• 5+ years of experience in data engineering, data platform engineering, or data-intensive software engineering • Advanced professional experience with Python and SQL • Strong experience designing and owning production-grade distributed data architectures • Solid understanding of ETL/ELT patterns, data modeling, orchestration, and data observability • Strong software engineering fundamentals, including testing, CI/CD, version control, and system design • Experience handling large, complex, and heterogeneous datasets in cloud environments • Ability to work independently, manage technical ambiguity, and take ownership of deliverables • Experience with cloud platforms (AWS, GCP, or Azure) and technologies like Spark, Databricks, Snowflake, or BigQuery (bonus points) • Experience with workflow orchestrators such as Apache Airflow, Dagster, or Prefect (bonus points) • Domain experience in life sciences, clinical trials, genomics, or drug discovery datasets (bonus points) • Exposure to data governance, lineage, or operating within regulated data environments (bonus points)

🏖️ Benefits

• Competitive salary with travel expenses covered when travel is required • Flexible work arrangements (Hybrid in Indianapolis, IN, or Fully Remote within the U.S. East Coast with occasional travel) • Dynamic career growth with innovative, high-impact enterprise projects • Long-term independent contractor agreement