Note: The job is a remote job and is open to candidates in USA. Corner Alliance is a growing consulting firm supporting federal government clients through economic and policy analysis related to broadband, spectrum, and next-generation communications technologies. The Databricks Consultant will lead the technical design and development of a Databricks-based analytics and dashboard prototype, including data pipelines, interactive dashboards, analytical datasets, and AI-assisted querying functionality.
Responsibilities
- 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 publicly available 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, with appropriate metadata, lineage, versioning, and reproducibility
- 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, emphasizing 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 so prototype functionality can be maintained and transferred
- Carry out our Commitments to Deliver, Grow, and Thrive
Skills
- 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, including 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
- Demonstrated ability to communicate technical decisions, limitations, and dependencies clearly to both technical and non-technical stakeholders
- Strong analytical, problem-solving, documentation, and cross-functional collaboration skills
- U.S. citizenship or permanent residency and the ability to pass a public trust clearance or suitability determination
- Databricks certification such as Databricks Certified Data Engineer Associate/Professional or equivalent demonstrated expertise
- Experience developing applications or dashboards using Databricks Apps, Lakeview/AI/BI dashboards, Streamlit, Plotly, Dash, Power BI, Tableau, or comparable visualization frameworks
- Experience working with public Federal datasets such as Census/ACS, FCC Broadband Data Collection, NTIA broadband data, BLS, BEA, or similar demographic and economic datasets
- Familiarity with broadband, telecommunications, infrastructure, economic-development, or Federal grant-program data
- Experience implementing LLM-enabled analytics, natural-language-to-SQL, retrieval-augmented generation, semantic layers, or AI-assisted data discovery within Databricks or a comparable enterprise data platform
Benefits
- For full-time employees: 401k matching (4%)
- For full-time employees: PTO (3 weeks to start, 4 weeks (2-5 years) and 5 weeks (5 years+))
- For full-time employees: health, dental, vision, short- and long-term disability
- For full-time employees: FSA accounts
- For full-time employees: 4 weeks of paid parental leave
- For full-time employees: 11 paid holidays (including your birthday off)
- For full-time employees: fitness & cell phone reimbursements
- For full-time employees: monthly all hands update meetings
- For full-time employees: annual in-person all hands team building day and evening out
- For full-time employees: regular check-ins for professional growth goals
- For full-time employees: semi-monthly one on one performance manager meetings
- For full-time employees: a social team that coordinates monthly events
- For full-time employees: use of technology like Slack to keep us connected and collaborative
- For full-time employees: a company culture dedicated to a highly engaged team
- Remote work arrangement
Company Overview