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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, (Consultant, Data & Analytics) - **Company:** Fearless - **Location:** Baltimore, MD, United States (Remote available) - **Experience:** Experienced - **Salary:** $96,132.0 - $162,462.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Database, Information Systems, Computer Programming, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Decision Support Systems, Distributed Computing Environment, Distributed Data Store, Fault Tolerance, Federal Information Processing Standards (FIPS), Data Intelligence, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, NoSQL, Performance Tuning, Queueing Systems, SQL Databases, Data Streaming, Systems Integration, Workflow Management Systems, Cloud Platform System, Data Ingestion, Apache Spark, Reliability of Systems, Pyspark, Kubernetes, Information Technology, Cassandra, Data Analytics, Machine Learning Operations, Data Delivery, Stream Processing, Data Pipelines, Databricks - **Published:** August 8, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87980529/1 ## About the Role * Minimum of 4 years of experience in data engineering or related roles. * Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field, or equivalent work experience. * Ability to obtain and maintain Public Trust clearance. * Strong experience with ETL/ELT pipeline design, data modeling, workflow orchestration, and distributed data processing. * Experience with cloud-based data ecosystems such as Azure, AWS, or GCP. * Strong programming experience with Python, SQL, and Spark. * Experience integrating machine learning pipelines with data engineering workflows. * Experience working with message queuing, stream processing, and large-scale data systems. * Strong understanding of data quality, data validation, and data governance practices. * Experience with SQL and NoSQL databases such as Postgres, MySQL, MongoDB, or Cassandra. * Experience working in Agile delivery environments. Preferred Experience * Experience with PySpark or Databricks. * Familiarity with AI and LLM orchestration frameworks such as LangChain or other workflow automation frameworks. Fearless Skills and Competencies * Analytical Thinking:The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions to develop effective solutions. * Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole. * Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks. * Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery. * Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations. * Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making. * Environmental Awareness: Maintains awareness of external dynamics, power structures within client environments as well asregulatory trends and contract requirements that influence service delivery. Required Level of Proficiency: * Practical Application: You can complete tasks in required competency/skill-based areas as requested. Help from an expert may be necessary from time to time, but you can usually perform the skill independently. Physical Requirements: * Ability to sit for extended periods while working on a computer or during meetings. * Must be able to travel occasionally to client sites or company meetings, which may involve driving or flying. * Ability to communicate effectively via phone, email, and in-person, requiring clear speech, listening, and written communication skills. * Ability to move within an office environment, including reaching for files, using office equipment, and occasional light lifting (up to 10 pounds). ## Description We are seeking a Data Engineer as part of our Consultant, Data & Analytics career path to design, build, and optimize scalable data infrastructure that powers analytics and decision-making for federal public health programs. In this role, you will develop secure, automated data pipelines using Python, SQL, PySpark, and Databricks while working within cloud-native platforms to ensure data is accurate, reliable, and accessible. You will collaborate with data scientists, analysts, and technical stakeholders to support diverse data needs, including work that leverages machine learning and AI tools for data gathering, analysis, and visualization, all while maintaining compliance with customer and federal data standards. This is a fully remote role. At Fearless, the consultant is responsible for leveraging data to answer business questions, develop algorithms and models, and build scalable infrastructure for managing and processing data.This role will possess and/or develop the skills to be able to span the domains of data analysts, engineers, and scientists at a practical application level of proficiency. This Consultant role will work on projects that allow themtodesign solutions that support decision-making, optimize operations, and enable data-driven innovation. Your Responsibilities in this Role: * Design, build, and maintain scalable, distributed data pipelines and ETL/ELT workflows that support public health analytics. * Implement data modernization methods using APIs, machine learning technologies such as NLP, and artificial intelligence capabilities. * Build secure, fault-tolerant, compliant data infrastructure aligned with customer and federal standards. * Assemble, clean, and optimize large, complex datasets to meet functional and non-functional business requirements. * Develop automated processes for data delivery, data quality validation, and performance optimization. * Utilize PySpark or Databricks to build and maintain distributed data processing pipelines. * Collaborate with data scientists, analysts, and cross-functional teams to improve data models and support data-driven decision making. * Support ad-hoc data and analysis needs to better understand program and customer behaviors. * Evaluate tools, technologies, and platforms for data ingestion, machine learning, orchestration, and analytics. * Monitor data volume, data quality, data pipeline performance, and system reliability. * Troubleshoot and resolve data and pipeline issues, performing root-cause analysis where needed. * Build analytical tools, dashboards, and interfaces that deliver actionable insights to stakeholders. * Document technical processes, data flows, and pipelines in accordance with customer documentation requirements. * Ensure all electronic deliverables are Section 508 compliant. * Follow federal security, encryption, and records management requirements including FIPS-validated encryption, Privacy Act compliance, and NARA standards. The Impact You Will Create in this Role: Fearless Impact: * Collaborates with cross functional teams * Earn the trust of your customer and teammates by delivering world class services. * Be reliable completing assigned objectives on time. * Alert your teammates and supervisor immediately when you think a deliverable is at risk. * Gather intelligence and listen to what your client, other people within the customer's organization and other contractors say about your project, and report back to your Fearless teammates and supervisor (whether it's good, bad or just informational). Fearless Customer Impact: * Deliver expected outcomes relative to data that enable smarter, faster, and more informed customer decisions * Offer and implement innovative solutions that introduce advanced analytics, machine learning, and emerging technologies for greater data accuracy and insight * Serve as a trusted advisor in your area of expertise ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)