> Markdown version of [/jobs/ext/1764524-ml-data-engineer](https://www.wearedevelopers.com/jobs/ext/1764524-ml-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Data Engineer - **Company:** Addison Group - **Location:** Bethesda, MD, United States (Remote available) - **Experience:** Expert - **Salary:** $62,400.0 - $69,992.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Systems Engineering, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Transformation, Data Systems, Data Warehousing, Python (Programming Language), Machine Learning, SQL Databases, Data Streaming, Workflow Management Systems, Feature Engineering, Control Structures, Data Lakes, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** July 14, 2026 - **Apply:** https://addisongroup.gosnaphop.com/jobs/l/login/19e62b1f-e3e6-11eb-be56-42010a8a0031/8d3be347-7f66-11f1-b0c9-024201c20d84/false?applyId=5f90c1b2-7ef7-11f1-a7a9-02420a6c7775&apply=true&returnUrl=/l/recruiting/jobapplication/5f90c1b2-7ef7-11f1-a7a9-02420a6c7775/8d3be347-7f66-11f1-b0c9-024201c20d84/false?step=1 ## About the Role This is an opportunity for someone who thrives in a fast-paced startup environment, enjoys owning their work end to end, and wants real upside growth potential in a firm that is building something differentiated in the financial services space. If you are the type of engineer who wants to build, not maintain this is your role, * Bachelor's degree in Computer Science, Data Engineering, Engineering, or a related field (or equivalent experience). * 4+ years of experience in data engineering or related roles. * Strong proficiency in Python and SQL. * Hands-on experience building and operating data pipelines and workflows. * Experience with modern data platforms (data lakes, data warehouses, or lakehouse architectures). * Familiarity with orchestration tools (e.g., Airflow, Dagster, Prefect) and data transformation frameworks. * Solid understanding of data modeling, schema design, and data quality best practices. * Experience integrating data from APIs and third-party systems. * Strong problem-solving skills and ability to work independently in a fast-paced environment. * Excellent communication skills and ability to work with both technical and non-technical stakeholders. Preferred * Experience supporting machine learning workflows (feature engineering, training datasets, or ML pipelines). * Familiarity with cloud platforms (AWS, Azure, or GCP). * Experience with streaming or near-real-time data pipelines. * Knowledge of data governance, security, and compliance best practices. * Prior experience in financial services, fintech, or regulated data environments. * Experience working in a high-growth or startup environment. ## Description * Design, build, and maintain scalable data pipelines to ingest data from multiple internal and external sources (APIs, SaaS platforms, databases, files). * Develop and manage a centralized data lake / lakehouse to standardize and curate data for analytics, reporting, and machine learning use cases. * Implement ELT/ETL processes to clean, validate, transform, and model data into trusted datasets. * Build and maintain machine-learning-ready datasets and feature pipelines that support experimentation and production models. * Ensure data quality, freshness, and reliability through monitoring, alerting, and automated validation checks. * Partner with analytics and business teams to define data requirements, metrics, and reporting outputs. * Support downstream data consumption for BI tools, dashboards, operational reporting, and partner data exports. * Apply best practices around data governance, security, access controls, and documentation. * Collaborate cross-functionally to deliver scalable, maintainable data solutions aligned with business priorities. * Continuously improve performance, cost efficiency, and reliability of the data platform., Position: Maintenance Technician Location: Bethesda, Maryland Job Type: Full-Time Work Location: On-site Salary: $55,000 - $67,000 / Annually, based on experience and qualifications. 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