Hiring: Innovation and Automation Data Engineer (WDP) Company: Bespoke Technologies, Inc. Location: Herndon, VA Job Posted Time: 2026-09-16 12:17:50 Target Skills & Keywords : Airflow, CI/CD, Data Pipeline, Databricks, Docker, ELT, ETL, GitLab CI, IaC, Jenkins, Kubernetes, Project Management, Python, SQL, Security Clearance, Snowflake, Terraform About the job Experience: •5+ years of experience in data engineering, with a strong focus on automation and platform development. •2 years of experience in a technical leadership or mentorship role, supervising a team or guiding junior engineers. •At least 2 years of experience in a technical leadership or mentorship role, supervising a team or guiding junior engineers. Required Skills: •Lead and mentor a team of automation-focused data engineers responsible for building and maintaining core data infrastructure frameworks. •Design and develop standardized, reusable ETL/ELT data pipeline templates for ingestion, transformation, and data product creation. •Architect and implement the CI/CD for Data (DataOps) strategy, enabling automated testing, validation, and deployment of data pipelines. •Integrate and manage automated data quality, testing, and monitoring tools (e.g., Great Expectations) directly into the core pipeline templates. •Develop and maintain a library of Infrastructure-as-Code (IaC) modules (e.g., Terraform) for provisioning common data engineering resources. •Partner cross-functionally with platform and data engineering teams to identify complex problems, troubleshoot bottlenecks, and engineer automated solutions. •Drive innovation by researching, prototyping, and implementing new technologies and patterns to improve the efficiency and reliability of our data engineering processes. •Document data workflows and automation processes to ensure they are understood and adopted across the organization. Qualifications: •Expert-level skills in Python and SQL. •Proven experience building and optimizing data pipelines on platforms like Databricks or Snowflake. •Hands-on expertise with Infrastructure-as-Code (Terraform) and CI/CD tools (e.g., GitLab CI, Jenkins). •Comprehensive expertise in data architecture, data modeling, and modern data warehousing concepts. •Direct experience with the data platform. •Operational familiarity with containerization technologies (Docker, Kubernetes). •Strong project management skills with experience in cross-functional initiatives. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!