Data Engineer

Remote, USA
Posted Jun 14, 2026
Full-time

SR. DATA ENGINEER (freelancer)

About the role

You’ll be responsible for designing and implementing scalable, high-performance data systems, while helping define best practices across the organization.

From building pipelines to enabling advanced analytics and ML use cases, your work will directly impact how we leverage data across global clients.

Responsibilities

  • Design and implement scalable data architectures (ETL/ELT)

    Build and maintain data pipelines for ingestion, processing, and consumption

    Develop APIs and data services to support analytics and product use cases

    Work with AWS and/or Azure to deploy modern data platforms (data lakes, warehouses, streaming)

    Automate data workflows with a focus on resilience, observability, and performance

    Collaborate with Data Scientists, Analysts, and Product teams to bring models into production

    Participate in architecture decisions and code reviews

    Explore and implement emerging trends (Data Mesh, MLOps, RAG, etc.)

    What we’re looking for

    • 5–7+ years of experience in Data Engineering or backend/data-focused development

      Strong expertise in Python (Pandas, NumPy, SQLAlchemy)

      Advanced SQL skills (optimization, complex queries, performance tuning)

      Experience with Apache Spark and Airflow

      Solid experience with data warehouses (Snowflake, BigQuery, Redshift)

      Strong knowledge of AWS and/or Azure ecosystems

      Experience building production-ready pipelines with CI/CD and Docker

      Experience working in agile environments

      ✨ Nice to have

      • Experience with Kafka or real-time streaming

        Knowledge of Scala or Java (for Spark)

        Experience with NoSQL databases (MongoDB, Redis, Cassandra)

        Familiarity with Kubernetes and Terraform

        Exposure to MLOps or AI systems (RAG, ML pipelines)

        Experience in startups or fast-paced environments

        ⚡️ Key skills

        • Scalable architecture & performance optimization

          Strong problem-solving and systems thinking

          Ownership and autonomy

          Clear communication and ability to work cross-functionally

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