[Hiring] Data Engineer III – REMOTE

Position: Data Engineer III – REMOTE

Date Posted: 22 January 2026

Industry: Information Technology / Data Engineering

Employment Type: Full Time

Experience: At least 5 years in data engineering or similar roles

Qualification: Bachelor’s degree in Computer Science, Information Technology, or a related field

Salary: $105,000 – $120,000 USD + annual bonus / $140,000 – $155,000 CAD + annual bonus

Location: United States – REMOTE

Company: E Source

Description:
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E Source is looking for an experienced Data Engineer III to join our machine-learning engineering team on a fully remote basis. This role involves designing, developing, and maintaining data pipelines, infrastructure, and systems that support both consulting services and software-as-a-service (SaaS) solutions. You will collaborate with a cross-functional team of machine-learning engineers, software engineers, data scientists, and data analysts to deliver impactful data products and solutions for our clients.

Key Responsibilities:

• Design, develop, and maintain scalable, secure data pipelines, infrastructure, and systems using AWS, Python, Databricks, Spark, and SQL databases such as PostgreSQL.
• Work closely with cross-functional teams to translate business challenges into technical solutions. Provide mentorship and guidance to junior data engineers.
• Develop and implement data engineering strategies and best practices aligned with business goals and client requirements.
• Monitor, troubleshoot, and ensure the quality, integrity, and availability of data pipelines and systems.
• Conduct research on industry trends, evaluating new data technologies and tools to enhance capabilities.
• Build and manage data lakes to support business intelligence needs.
• Oversee the software development lifecycle and DevOps aspects of code deployment.
• Collaborate with data scientists and analysts to provide optimal data solutions.
• Innovate data validation methods and analytical tools.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Minimum five years of data engineering experience.
• Expert in Python, SQL databases (e.g., PostgreSQL), Databricks, and Spark.
• Hands-on experience building cloud-resident data pipelines in AWS.
• Strong understanding of data governance, security, privacy, and retention practices.
• Excellent communication, collaboration, and problem-solving skills.
• Proficiency with agile tools like Jira and DevOps practices using GIT, Docker, and CI/CD pipelines such as Jenkins.
• Passion for data innovation and problem-solving.

Preferred Qualifications:

• Proven ability to work independently and achieve results proactively.
• Experience with ETL optimization, coding, and tuning big data processes in Databricks.
• Knowledge of data lineage and quality management.
• Experience working with data science and machine-learning models.
• Background in the energy or utility industry is a plus.
• Master’s degree in MIS, Computer Programming, Software Engineering, Data Science, or equivalent STEM field.

Benefits:

• Comprehensive insurance plans (medical, dental, vision, life insurance, short- and long-term disability).
• Flexible Time Off (FTO) program.
• Flexible work schedules and locations with paid parental leave.
• Retirement plan (401k/RRSP) with employer match.

This position is 100% remote with minimal travel. Candidates must be authorized to work in the US; visa sponsorship is not available.

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