Data Engineer (Remote - US)

Jobgether

72d • $89,203 - $151,646

About The Position

This fully remote Data Engineer role offers an exciting opportunity to design, implement, and optimize scalable data solutions supporting AI/ML initiatives and advanced analytics. The position focuses on building robust AWS-based data lakes, developing real-time and batch data pipelines, and delivering clean, ML-ready datasets to enable data-driven decision-making. You will collaborate closely with data scientists, business teams, and other technical stakeholders to deliver high-quality data insights and visualizations. The role requires hands-on experience with cloud platforms, ETL processes, and data integration tools while maintaining compliance with data governance and security standards. Ideal candidates are proactive problem-solvers, able to navigate complex datasets, and skilled in both technical execution and client or team collaboration. This role directly impacts mission-critical programs by ensuring reliable and actionable data infrastructure across the organization.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 6–8 years of experience in data engineering with expertise in pipeline development and data integration.
• 3+ years of hands-on experience with AWS data services including Glue, Lambda, S3, Step Functions, and Athena; familiarity with Redshift and Lake Formation is a plus.
• 6+ years of SQL and programming experience, preferably in Python.
• Experience with BI tools such as Tableau, Power BI, or Amazon QuickSight.
• Familiarity with cloud integration tools like Talend or Informatica.
• Understanding of ETL concepts, data flow, enrichment, transformation, and real-time data streaming.
• Excellent communication, thought leadership, and presentation skills.
• US Citizen or Permanent Lawful Resident, able to obtain and maintain Public Trust.
• Ability to work remotely from within the United States and support Eastern Time Zone operations.

Nice To Haves

• AWS certifications.
• Experience with big data frameworks (Spark, Kafka, AWS Kinesis).
• Event-driven architectures.
• DevOps tools (Jenkins/Git).
• Agile development experience.

Responsibilities

• Design, build, and optimize AWS-based data lakes and data integration pipelines for batch and real-time data.
• Perform data profiling, transformation, and enrichment to prepare clean, ML-ready datasets.
• Develop and maintain reports, dashboards, and data visualizations to support analytics and business decision-making.
• Collaborate with data scientists, analysts, and business teams to deliver curated datasets for ML and analytics workflows.
• Support project delivery for Data Lake, Data Warehouse, and BI initiatives, working alongside subject matter experts.
• Ensure compliance with data governance, security, and privacy regulations, including federal standards.
• Document processes, standards, and integration workflows for internal and external stakeholders.

Benefits

• Competitive salary range: $89,203 – $151,646 (dependent on experience and location).
• 100% remote work across the United States with flexible scheduling.
• Comprehensive medical, vision, and dental insurance.
• Paid family and medical leave.
• Performance-based bonus programs.
• Professional development opportunities and required certification support.
• Inclusive and collaborative work environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees