Analytics Data Engineer

Corner Alliance; United States; Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

401k matching

Paid time off

Health, dental, vision

Parental leave

Flexible work arrangement

Job summary

Corner Alliance is a dynamic consulting firm seeking an Analytics Data Engineer with 6+ years of experience to support a federal government client. This role focuses on building scalable data pipelines, data lakes and a Lakehouse, leveraging Databricks and cloud tooling to enable data-driven decision-making.

You will collaborate with stakeholders to automate data processing, implement CI/CD, and refine dashboards for program financials, risk, and engagement.

Qualifications

• Bachelor’s degree or higher in a related field such as computer science, engineering, or information systems management.
• 6+ years of experience in a data engineer role or related role
• Experience with scalable ETL data pipelines and cloud platforms

Responsibilities

• Design, develop, test, and optimize data pipelines.
• Collaborate to implement a data development life cycle with CI/CD.
• Build an authoritative Lakehouse for post-award reporting and monitoring.
• Refresh dashboards such as program financials and risk management.
• Apply advanced analytics to extract insights from unstructured data to support decision-making.

Skills

ETL pipelines

Python

PySpark

SQL

Automation scripts

Data warehouses

Data lakes

Databricks

CI/CD

Cloud platforms

Education

Bachelor's degree or higher in related field

Tools

Databricks

CI/CD tooling

Job description

Corner Alliance is a dynamic, growing consulting firm that devotes itself to providing an enriching employee experience while working in meaningful ways to create results for the government. We are currently seeking a Analytics Data Engineer with 6+ years of experience to join our team and fully embrace our commitment to deliver, grow and thrive.

About the Role:

As an Analytics Data Engineer supporting our Federal government client, you will be trusted to provide support in making data driven decisions that improve grant program outcomes.

Key Responsibilities include (but are not limited to):

• Work with data solutions architect to establish a data platform strategy.
• Provide direct technical expertise in the design, development, implementation and testing of different data pipelines.
• Collaborate with team members to design, document and implement a data development life cycle to enforce consistency and uniformity of process using Databricks and cloud tooling.
• Responsible for analyzing and understanding data sources, participating in requirement gathering, and providing insights and guidance on data technology and data modeling best practices.
• Leverage knowledge of data models, data relationships, mapping lineage and business rules to ensure that solutions meet operational and business needs.
• Implement and maintain end-to-end data pipelines and data systems in Databricks integrating CI/CD processes, continuously improving the quality of deliverables.
• Establish an authoritative Lakehouse within the Analytics Platform to organize and structure data required for post-award reporting and monitoring.
• Refresh and refine existing dashboarding and data analysis products (e.g., program financials, risk management, customer engagement).
• Leverage advanced analytics (such as LLMs and Artificial Intelligence) to analyze unstructured program data to reduce the burden of manual review of post-award submissions, enhance ability to identify instances of fraud, waste, and abuse, and inform decision-making for effective management of project implementation.
• Collaborate with business stakeholders and team members to identify automation opportunities.
• Carry out our Commitments to Deliver, Grow, and Thrive.

Location:

You will work as part of a dynamic team remotely. You will work at the client site dependent on contract requirements.

Required Experience/Skills:

• Bachelor’s degree or higher in a related field, such as computer science, engineering, business analytics, information systems management, cybersecurity, engineering
• 6+ year’s experience in a data engineer role or related role
• Experience with the design and build of scalable data pipelines to extract, transform, and load (ETL) data from various sources
• Experience utilizing programming languages like Python, PySpark, and SQL to manipulate and clean data
• Experience developing and implementing automation scripts to streamline data processing tasks
• Experience with the deployment, configuration, and maintenance of data storage systems like data warehouses and lakes
• Experience working with cloud platforms such as Azure, AWS, or GCP
• US citizenship and the ability to pass public trust clearance or suitability

About Us:

Corner Alliance offers a 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, and overall, a company culture dedicated to a highly engaged team.

Corner Alliance is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability status, genetics, protected veteran status, or any other basis covered by applicable law. We are dedicated to building a talented workforce that reflects the strength of our society and our shared commitment to excellence. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with Corner Alliance please call [phone] or email [e-mail]. Corner Alliance participates in the E-verify program and will provide the Federal Government with Form I-9 information to confirm work authorization in the U.S.

Visit us at www.corneralliance.com to learn more.

Securing Your Data:

Beware of fake employment opportunities using Corner Alliance’s name. Corner Alliance will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Corner Alliance ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Corner Alliance will only communicate with you through our ATS system JazzHR and/or emails that are generated by the corneralliance.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Corner Alliance that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [e-mail]. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Salary:

Approximate Salary Estimate: $100,000.00 - $120,000.00 annually

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.