Databricks Consultant – Part-Time

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Corner Alliance

51 - 200 employees

Founded 2007

💼 Consulting

🏛️ Government

🔒 Cybersecurity

Consulting • Government • Cybersecurity

Corner Alliance is a consultancy dedicated to helping government agencies achieve their mission by designing and implementing innovative federal programs in areas such as broadband, cybersecurity, and public safety. They specialize in strategic planning, policy analysis, program management, and stakeholder engagement to support government initiatives. Corner Alliance emphasizes its role as a government ally and leverages its network to improve communities' resilience and safety through effective program administration.

📋 Description

• Lead the design and development of a Databricks-based dashboard prototype, translating economist-developed requirements, data models, KPIs, and analytical use cases into functional technical capabilities • Design and implement scalable data ingestion, transformation, integration, and quality-control workflows for broadband, demographic, economic, labor, and geographic datasets • Develop interactive dashboard functionality supporting maps, geographic comparisons, trend analysis, filters, KPI summaries, socioeconomic indicators, and downloadable outputs • Build and maintain structured analytical datasets using Python, SQL, Spark/PySpark, Delta Lake, and Databricks workflows • Maintain metadata, lineage, versioning, and reproducibility for analytical datasets • Translate program and policy questions into technically feasible data products, visualizations, queries, and reusable analytical workflows • Design and test AI-assisted natural-language querying or data-discovery functionality against curated public datasets and metadata • Emphasize source-grounded responses, transparency, and safeguards against unsupported inference • Document system architecture, data pipelines, schemas, transformation logic, data dictionaries, code/configuration artifacts, dependencies, and deployment procedures • Carry out Corner Alliance’s commitments to Deliver, Grow, and Thrive

🎯 Requirements

• Bachelor's degree or higher in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, Geographic Information Science, or a related technical field • 5+ years of experience in data engineering, analytics engineering, software development, business intelligence, or related technical roles • Demonstrated hands-on experience developing production or prototype solutions using Databricks • Strong proficiency with Python and SQL • Experience working with Spark/PySpark and large structured datasets • Experience designing and implementing ETL/ELT pipelines, data transformations, data-quality controls, and reusable analytical datasets • Demonstrated experience building interactive analytical dashboards, data applications, or business-intelligence solutions from integrated datasets • Experience with Git and modern software-development practices, including code review, testing, documentation, and collaborative development • Ability to translate analyst, economist, program, and stakeholder requirements into practical technical designs and working functionality • Ability to communicate technical decisions, limitations, and dependencies clearly to technical and non-technical stakeholders • Strong analytical, problem-solving, documentation, and cross-functional collaboration skills • U.S. citizenship or permanent residency • Ability to pass a public trust clearance or suitability determination

🏖️ Benefits

• 401k matching (4%) • PTO (3 weeks to start, 4 weeks (2-5 years) and 5 weeks (5 years+)) • Health insurance • Dental insurance • Vision insurance • Short-term disability • Long-term disability • FSA accounts • 4 weeks of paid parental leave • 11 paid holidays (including your birthday off) • Fitness reimbursements • Cell phone reimbursements • Monthly all hands update meetings • Annual in-person all hands team building day and evening out • Regular check-ins for professional growth goals • Semi-monthly one on one performance manager meetings • Monthly social team events • Technology such as Slack to stay connected and collaborative • Company culture dedicated to a highly engaged team

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