Remote Senior Data Engineer — Cloud-Native Data Platform Lead

Fearless; Baltimore (MD); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Flexible schedules

401(k) with match

Job summary

Fearless is seeking a Senior Data Engineer as part of our Senior Consultant, Data and Analytics career path to design and build cloud-native data pipelines and analytics solutions for federal and state customers. This role is fully remote.

You will lead architecture, mentor engineers, and drive modern data platforms across diverse environments, leveraging Python, SQL, Spark, and cloud technologies to deliver scalable, secure data solutions that empower data-driven decisions.

Qualifications

• Minimum of 7 years of experience in data engineering or related roles.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent work experience.
• Demonstrated experience architecting cloud-native data platforms in AWS environments.
• Expert-level proficiency with Python, SQL, Apache Spark, and distributed data processing frameworks.
• Experience designing and implementing modern data lake, lakehouse, and enterprise data platform architectures.
• Experience building scalable ETL/ELT frameworks supporting large, complex datasets.
• Experience implementing data governance, metadata management, data lineage, and data quality solutions.
• Experience designing secure, highly available, and scalable cloud-native architectures.
• Experience implementing CI/CD pipelines and Infrastructure as Code using tools such as Terraform or AWS CDK.
• Strong understanding of cloud networking, security, IAM, and data platform best practices.
• Demonstrated ability to lead technical initiatives and influence architecture decisions across engineering teams.
• Experience partnering directly with technical and non-technical stakeholders to translate business requirements into technical solutions.
• Excellent communication skills with the ability to present complex technical concepts to diverse audiences.

Responsibilities

• Lead architecture, design, and implementation of enterprise-scale cloud-native data platforms supporting mission-critical workloads.
• Design and develop scalable data pipelines supporting structured, semi-structured, and unstructured data ingestion, transformation, and delivery.
• Architect modern lakehouse and data platform solutions using Databricks, Delta Lake, AWS, and open data technologies.
• Partner with customer stakeholders to understand business objectives and translate them into scalable technical solutions.
• Drive architectural decisions around data modeling, governance, security, observability, scalability, and cost optimization.
• Design and implement robust ETL/ELT frameworks supporting enterprise analytics and operational reporting.
• Develop high-performance data processing solutions using Python, SQL, Spark, and distributed computing technologies.
• Build reusable data engineering frameworks, standards, and accelerators that can be leveraged across multiple customer engagements.
• Implement metadata management, data lineage, cataloging, and data quality controls to support trusted enterprise data platforms.
• Develop Infrastructure as Code (IaC) and CI/CD pipelines to automate deployment, testing, and operational management of cloud data solutions.
• Optimize data platforms for reliability, scalability, performance, and cloud cost efficiency.
• Collaborate with solution architects, software engineers, DevOps engineers, and security teams to deliver integrated cloud-native solutions.
• Lead technical design sessions, architecture reviews, and code reviews while promoting engineering excellence across delivery teams.
• Mentor and coach data engineers by providing technical guidance, best practices, and career development support.
• Evaluate emerging technologies and recommend innovative approaches that improve platform capabilities and customer outcomes.
• Support Agile delivery teams while helping shape engineering processes and technical standards across multiple programs.

Skills

Python

SQL

Apache Spark

Data modeling

CI/CD

Data governance

Cloud platforms

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems

Tools

Databricks

Delta Lake

Airflow

dbt

Kafka

Snowflake

Redshift

Terraform

AWS

Job description

Fearless is seeking a Senior Data Engineer as part of our Senior Consultant, Data and Analytics career path to design and build cloud-native data pipelines and analytics solutions for federal and state customers. This role is fully remote.

You will lead architecture, mentor engineers, and drive modern data platforms across diverse environments, leveraging Python, SQL, Spark, and cloud technologies to deliver scalable, secure data solutions that empower data-driven decisions.