[Hiring] Databricks Consultant @Corner Alliance

Role Description

Corner Alliance is supporting our federal government clients by delivering high-impact economic and policy analysis related to broadband, spectrum, and next-generation communications technologies. Our team provides expertise in financial modeling, spectrum valuation, and socio-economic impact evaluation to help inform national policy and investment decisions. You will be trusted to lead the technical design and development of a Databricks-based analytics and dashboard prototype.

The ideal candidate will bring strong hands-on experience with Databricks, Python, SQL, Spark/PySpark, and Delta Lake, along with the ability to develop interactive analytical dashboards, build reliable data pipelines, and create reusable analytical workflows.

Key Responsibilities include (but are not limited to):

• 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.

Qualifications

• 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.

Preferred Experience/Skills

• 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

• Comprehensive and competitive benefits package for full-time employees including 401k matching (4%).
• PTO (3 weeks to start, 4 weeks (2-5 years) and 5 weeks (5 years+)).
• Health, dental, vision, short- and long-term disability.
• FSA accounts.
• 4 weeks of paid parental leave.
• 11 paid holidays (including your birthday off).
• Fitness & 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.
• A social team that coordinates monthly events.
• Use of technology like Slack to keep us connected and collaborative.
• A company culture dedicated to a highly engaged team.

Compensation

Approximate Hourly Rate Estimate: $90.00 - $100.00 per hour. The estimate displayed represents the typical salary range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have, and comparison to other employees already in this role.