Data Engineer, Databricks

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

💵 $115k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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E Source

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1986

⚡ Energy

💼 Consulting

🤝 B2B

Energy • Consulting • B2B

E Source is a research, data-science, and consulting firm that helps electric, gas, and water utilities make and implement data-driven decisions. The company combines industry-leading research, benchmarking, consulting services, and applied analytics (including machine learning and AI support) to improve customer experience, optimize grid operations, modernize business and field processes, and design and evaluate energy programs. E Source offers solutions across customer operations, DER strategy and measurement, AMI planning and implementation, vegetation/storm/wildfire/reliability intelligence, interconnection studies, data strategy and governance, and workforce and technology transformation. It serves utilities across North America and emphasizes linking strategy to execution for measurable operational and customer outcomes.

📋 Description

• Design, develop, and maintain data pipelines, infrastructure, and systems using AWS, Python, Databricks, Spark, and PostgreSQL • Collaborate with cross-functional teams to translate business requirements into technical solutions • Provide technical guidance and mentorship to junior data engineers • Develop and implement data engineering standards and best practices • Monitor and troubleshoot data pipelines to ensure data quality, integrity, and availability • Research industry trends and evaluate new data technologies • Build and maintain data lakes to support analytics and business intelligence • Manage the software development life cycle and DevOps activities • Partner with data scientists and analysts to deliver effective data solutions • Develop data validation and data analysis tools

🎯 Requirements

• Bachelor’s degree in computer science, information technology, or a related field • Five or more years of experience in data engineering or a related role • Expert proficiency in Python, SQL, Databricks, and Spark • Experience building cloud-based data pipelines in AWS • Knowledge of data governance, security, privacy, and retention practices • Strong communication, collaboration, and problem-solving skills • Experience working in agile environments using tools such as Jira • Proficiency with Git, Docker, and CI tools such as Jenkins • Passion for data and continuous improvement. • Ability to work independently and proactively • Experience optimizing ETL workflows in Databricks • Knowledge of data lineage and data quality practices • Experience supporting data science and machine learning solutions • Prior experience in the energy or utility industry • Master’s degree in a relevant STEM field

🏖️ Benefits

• Excellent insurance options, including medical, dental, and vision plans; • company-paid life insurance; • company-paid long- and short-term disability insurance; • medical and dependent-care flexible spending plans; • paid parental leave. • A flexible time off (FTO) policy that provides paid time away from work, approved by your manager, while ensuring business needs, workload commitments, and appropriate coverage are maintained. • A 401(k)/RRSP plan with a 3% employer match.