Staff Data Engineer - Databricks SME (Remote)

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Staff Data Engineer - Databricks SME This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates products that meet people’s needs and transform their experience of government. Why Remote Our culture, communications and tools are built for remote work, enabling us to bring together top talent nationwide. Remote life empowers teams to design work environments that fit their lives and foster flexibility and collaboration to achieve positive outcomes for our customers. Company Mission Our collaborations have shaped some of the defining moments in public‑sector service delivery. We’ve helped build products that connect Veterans to tailored services, help millions access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we’re also changing how the government approaches technology. Principal Responsibilities Staff Data Engineer - Databricks expert builds scalable data pipelines, optimizes workloads, and enables advanced analytics across cloud platforms. Collaborates with data scientists and engineers to transform raw data into actionable insights, ensuring high performance, data integrity, and seamless integration within the Databricks environment. Primary expectations of a Staff Data Engineer include: Develop and maintain ETL/ELT pipelines using Databricks notebooks and workflows Optimize Spark jobs for performance, scalability, and cost‑efficiency Design and implement data lakehouse architectures Integrate Databricks with external data sources, APIs, and on‑prem databases Collaborate with data scientists and engineers to support end‑to‑end data solutions Ensure data governance, security, and compliance using tools such as Unity Catalog and RBAC Serve as a mentor, supporting junior team members within the business unit and organization Basic Qualifications Bachelor’s degree in computer science, information technology, or a related field, and 8+ years of experience Minimum of 5 years of experience as a data analyst Strong knowledge of database structures, theories, principles, and practices 5+ years of experience in big data engineering and analytics Experience with cloud platforms, ML and data cataloging tools Understanding of data privacy and protection regulations Strong analytical and problem‑solving skills Proficiency with SQL, Python, R, or other data analysis languages Experience with data visualization tools and reporting platforms Strong understanding of statistics, data modeling, and analytical techniques Familiarity with databases, data warehouses, and ET processes Ability to lead and motivate a remote team Excellent time management and organizational skills Adaptability and openness to new ideas Preferred Qualifications Prior government contracting experience Benefits Company‑subsidized health, dental, and vision insurance Flexible PTO 401(k) with employer match Paid parental leave after one year of service Employee Assistance Program Salary Range $150,000 - $160,000 per year Equal Employment Opportunity Ad Hoc LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work‑related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination. In support of various state and city equal pay transparency laws, Ad Hoc job descriptions feature the starting range we reasonably expect to pay to candidates who would join our team with little to no need for training on the responsibilities we've outlined above. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and responsibility. #J-18808-Ljbffr Ad Hoc LLC

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