Databricks Consultant (1099 Part-Time)

Corner Alliance•Washington, DC

6d•$90 - $100•Remote

About The Position

Corner Alliance is seeking a Databricks Consultant with 6+ years of experience to join their team. This role supports federal government clients by providing high-impact economic and policy analysis related to broadband, spectrum, and next-generation communications technologies. The consultant will lead the technical design and development of a Databricks-based analytics and dashboard prototype, translating requirements into functional technical capabilities. Responsibilities include designing and implementing data ingestion, transformation, and quality-control workflows, developing interactive dashboard functionality, building structured analytical datasets, translating program and policy questions into data products, designing AI-assisted natural-language querying, and documenting system architecture and processes. The role emphasizes carrying 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, 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.

Nice To Haves

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.
Coachability, unflappability in navigating challenges, resourcefulness in learning new skills, innovation in challenging the status quo, excellent writing skills, analytical thinking, prioritization skills, and rapport building with clients and colleagues.

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.