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Senior Data Engineer; Team Lead

Job in Waldorf, Charles County, Maryland, 21276, USA
Listing for: Fearless Solutions
Full Time position Listed on 2026-11-15
Job specializations:
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR

Job Description & How to Apply Below

Position: Senior Data Engineer, (Team Lead)
Job Requirements

At Fearless, we are seeking a Senior Data Engineer who will serve as the Fearless Team Lead to support a large federal agency's enterprise data modernization initiative focused on building and operating a secure, cloud-native data platform. The team delivers platform engineering, cloud infrastructure, data engineering, governance, AI/ML capabilities, and customer enablement to help modernize enterprise data services. Rather than supporting a single application, this work builds the shared technology foundation that enables secure, scalable, and data-driven decision-making across the agency.

This individual will combine deep technical expertise in Databricks and cloud data platforms with team leadership and consulting responsibilities, serving as both hands‑on technical contributor and Fearless team lead for the engagement. This is a fully remote role.

As a Team Lead, you deliver world-class service within assigned teams, leading to account growth. This role involves providing delivery leadership for one large or up to three small teams within a single project. You will coach and mentor junior team members, sharing the skills and best practices you have developed throughout your experience. Your role is pivotal in ensuring high performance, fostering team development, and driving successful project outcomes that contribute to the growth and reputation of the organization.

Fearless

Your Responsibilities in this Role:
  • Own the design and implementation of ingestion architectures that support scalable, reliable data flows into the enterprise data platform.
  • Design and implement data models that balance performance, scalability, and governance requirements across the platform.
  • Lead ETL/ELT development efforts using Databricks, Azure Data Factory, and related tools to transform and deliver data for downstream consumption.
  • Support migration of legacy Corporate Data Warehouse workloads into the cloud‑native platform, ensuring data integrity and continuity.
  • Partner with governance and data quality teams to ensure enterprise data solutions align with quality, security, and governance standards.
  • Lead technical design discussions and provide architectural guidance on scalable data engineering solutions, platform standards, and performance optimization.
  • Serve as the Fearless team lead for the program, managing and mentoring Fearless team members and coordinating delivery across work streams.
  • Act as the primary liaison between the Fearless team and customer leadership, building trusted relationships and ensuring alignment on priorities.
  • Facilitate communication between the Fearless team and Fearless leadership, surfacing risks, needs, and opportunities proactively.
The Impact You Will Create in this Role:
Customer & Fearless Impact:

A successful candidate in this role can independently operate with minimal support from their leadership in day‑to‑day tasks and decision‑making. This team lead will impact Fearless' customers by:

  • Delivering exceptional service, identifying new business opportunities, and maintaining high levels of customer satisfaction.
  • Leading teams to consistently meet project milestones, ensuring compliance, quality, and the successful implementation of solutions.
  • Cultivating a culture of excellence, ensuring accountability, continuous improvement, and skill development within the team.
  • Acting as a strategic advisor to customers and stakeholders, guiding decisions that align with the organization's mission and long‑term goals.
  • Ensure that Fearless positively impacts our customers' missions and the lives of the people they serve by consistently delivering world‑class products and services on time.
Work Experience
  • Minimum of 7 years of experience in data engineering, data architecture,…

Position Requirements

10+ Years work experience
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