Note: The job is a remote job and is open to candidates in USA. Fearless is a digital integration consultancy focused on building a better tomorrow. They are seeking a Data Engineer (Consultant, Data & Analytics) to design, build, and optimize scalable data infrastructure that supports public health analytics, collaborating with cross-functional teams to deliver data-driven solutions.
Responsibilities
- 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
Skills
- 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
- Experience with PySpark or Databricks
- Familiarity with AI and LLM orchestration frameworks such as LangChain or other workflow automation frameworks
Benefits
- Flexible, life-friendly schedules
- 100% coverage for our medical HSA plan + HSA contributions
- Dental & vision covered 100% for you and your dependents
- Competitive premiums for HMO/PPO and dependent coverage
- 401(k) with 4% match & immediate vesting
- Paid Parental Leave and 12 weeks paid FMLA
- Generous PTO, 11 Federal Holidays, a Birthday Holiday, and Sick Leave
- Up to 15 days for Jury Duty and Bereavement Leave
- Education, wellness, and tech allowances
- Referral bonus: $6K–$12K for each successful referral
- Pet insurance & discount plans
- Employee Assistance Program (EAP)
- Legal support, life insurance, disability coverage
- Performance-Based Bonuses: Our bonus program rewards both shared company success and individual contributions
- Flexible, family-friendly environment
- Performance-based bonuses eligibility statement: *This position is eligible for a discretionary bonus based on individual and company performance criteria.*
Company Overview