Data Engineer (Remote, Continental United States)

About ICA, Inc.

International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!

We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.

At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.

We are looking for   a Data Engineer  to join our growing team!

ABOUT THE ROLE:

We are seeking an experienced Data Engineer to build and maintain data infrastructure supporting ICA's federal agency clients, including the FDA. You'll develop pipelines and platforms that transform raw data into actionable insights, working with analysts, data scientists, and developers in an agile environment.

ABOUT YOU:

As a data engineer with software development expertise you bring a blend of analytical rigor and coding craftsmanship to every project. You excel at designing scalable data pipelines, optimizing performance, and ensuring data integrity across complex systems. Your strong programming skills allow you to build robust tools and services that empower data-driven decision-making. You collaborate seamlessly with cross-functional teams, translating business needs into technical solutions with clarity and precision. Above all, you are passionate about continuous learning and innovation, always seeking ways to improve systems and deliver value.

RESPONSIBILITIES:

• Design and maintain scalable data pipelines and ETL/ELT processes
• Build document processing pipelines for text and image extraction
• Architect AWS-based data solutions using S3, Glue, Redshift, RDS, ECS, etc
• Optimize SQL queries and develop Python-based data processing workflows
• Troubleshoot data pipeline issues and implement solutions
• Ensure data pipeline performance, scalability, and security

REQUIRED QUALIFICATIONS:

• 4+ years of experience working with ETL, Data Modeling, and Data Architecture
• Expertise in writing and optimizing SQL
• Experience with Big Data technologies such as Spark
• Intermediate Linux skills
• Experience in managing large data warehouses or data lakes
• Minimum of 1 year experience with programming in Python
• Experience with data and cloud engineering
• Knowledge of cloud computing services
• Bachelor's degree, or higher
• Ability to obtain a Public Trust Clearance

PREFERRED QUALIFICATIONS:

• Databricks Lakehouse platform experience
• ML pipeline or graph algorithm implementation
• Unstructured data processing expertise

BENEFITS:

We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits.

• Health Insurance -100% employer-paid premiums  – ICA covers the full cost of one of three offered medical plans
• Dental Insurance
• Vision insurance
• Health Spending Account
• Flexible Spending Account
• Life and Disability insurance
• 401(k) plan with company match
• Paid Time Off (Vacation, Sick Leave and Holidays)
• Education and Professional Development Assistance
• Remote work from anywhere within the continental United States

LOCATION & TELEWORK
This is a remote position. Candidates residing in the DMV area preferred. 

ADDITIONAL INFORMATION:

ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.