4A Consulting, LLC

Data Engineer (Local Only)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Local Only) in Woodlawn, MD, with a contract length of unspecified duration and a pay rate of "unknown." Key skills include SQL, ETL workflows, Python, and experience with federal agencies, particularly in fraud detection.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
August 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Woodlawn, MD
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🧠 - Skills detailed
#Databases #Data Governance #Snowflake #Datasets #Scala #Consulting #SQL Queries #Docker #BitBucket #Kubernetes #Azure #GCP (Google Cloud Platform) #Airflow #Automation #Data Integrity #Agile #Anomaly Detection #Model Deployment #Data Engineering #Libraries #"ETL (Extract #Transform #Load)" #Apache Airflow #Data Science #Python #Logging #DevOps #Deployment #Monitoring #SQL (Structured Query Language) #Version Control #Code Reviews #Data Processing #Cloud #Data Quality #Strategy #NumPy #AWS (Amazon Web Services) #Pandas #Security #GitHub #Documentation #Redshift #BigQuery
Role description
Company Overview At 4A Consulting, we turn complexity into opportunity. Founded in 2014 and headquartered in Baltimore, MD, we are a women-owned, boutique consulting firm specializing in delivering innovative, data-driven solutions to both the Federal Government and Fortune 500 clients. Our team blends deep industry knowledge with advanced technologies to design tailored strategies that drive measurable and sustainable outcomes. We pride ourselves on an agile, collaborative approach that helps organizations navigate challenges and seize emerging opportunities in a rapidly evolving digital landscape. At 4A, we don’t just deliver projects, we build trusted partnerships that empower our clients to lead with confidence in the digital age. Position Overview We are seeking a Data Engineer to join our team in Woodlawn, MD, supporting the SSA in modernizing its fraud control strategy. This senior technical role is part of a high‑impact team responsible for redesigning and optimizing fraud detection pipelines and workflows that safeguard federal benefits and adapt to evolving data sources. You will lead the design and implementation of scalable, secure, and flexible data engineering solutions while collaborating closely with data scientists, analysts, and federal stakeholders to ensure the iClaim model infrastructure is robust, adaptable, and future‑ready. Key Responsibilities • Engineer and manage large-scale multi-source datasets to ensure high data integrity and reliability. • Design, optimize, and maintain complex SQL queries for ETL operations across distributed databases. • Build and automate resilient, high-availability ETL pipelines using tools like Apache Airflow. • Write modular, well-documented Python code for data processing, feature engineering, and orchestration. • Implement comprehensive data validation, cleansing, and quality checks throughout all pipeline stages. • Apply CI/CD best practices, including version control, code reviews, logging, and monitoring. • Collaborate with data scientists to optimize model pipelines for performance, maintainability, and scalability. • Create and maintain data dictionaries, model specs, and system architecture guides. • Support Agile sprints while refining data workflows and model deployment processes. • Participate in deployment activities and conduct rigorous testing, validation, and post‑implementation reviews. Required Qualifications • Bachelor's degree with 7+ years of relevant experience. • Proficient in SQL, ETL workflows, and cloud data platforms (Redshift, Snowflake, BigQuery). • Experience with Apache Airflow or similar orchestration frameworks. • Strong Python development skills, especially with pandas, NumPy, and automation libraries. • Hands-on experience building data quality checks and validation frameworks. • Familiarity with GitHub, Bitbucket, or similar version control tools. • Knowledge of logging, monitoring, and error‑handling approaches in production workflows. • Understanding of modular design, code optimization, and Agile methodologies. Preferred Qualifications • Experience supporting federal agencies, particularly in fraud or anomaly detection. • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). • Exposure to CI/CD, DevOps practices, and infrastructure‑as‑code. • Knowledge of data governance, PII handling, and federal security standards. • Experience with model documentation, feature tracking, and model lifecycle management. Applicants must be legally authorized to work in the United States. Employer sponsorship is not available for this position. Why Join 4A • Be part of a mission-driven, women-owned consulting firm with a reputation for excellence. • Work on high-impact projects across federal and commercial clients. • Collaborate in an inclusive, growth-oriented culture where innovation is valued. • Access career development programs, mentorship, and learning opportunities. • Enjoy a comprehensive benefits package, flexible work options, and a focus on work-life balance. Equal Opportunity Statement 4A Consulting is an Equal Opportunity Employer committed to an inclusive hiring process. Applicants requiring a reasonable accommodation due to a disability may contact accommodations@4a-consulting.com. This email is intended solely for accommodation requests. Please note that 4A Consulting participates in the federal E-Verify program. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US. 4A Consulting will only use E-Verify once you have accepted a job offer and completed the Form I-9.