Data Engineer IV

November 14

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

💵 $120k - $145k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

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E Source

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Energy • B2B • Artificial Intelligence

E Source is a solutions-based research, consulting, and data science firm that helps electric, gas, and water utilities across the US and Canada with decarbonization, electrification, customer experience, program innovation, and grid/asset optimization. For more than 30 years they have delivered advisory services, data-driven AI solutions, and implementation support to design cost-effective efficiency programs, modernize utility operations, and reduce operational costs while improving customer satisfaction and resilience.

201 - 500 employees

Founded 1986

⚡ Energy

🤝 B2B

🤖 Artificial Intelligence

📋 Description

• Design, develop, and maintain data pipelines, infrastructure, and systems to support data products and solutions using technologies such as AWS, Python, Databricks, Spark, and SQL databases like PostgreSQL • Work with cross-functional teams to translate business problems into technical solutions and provide technical guidance and mentorship to junior data engineers • Create and maintain optimal data pipeline architecture • Assemble and process large, complex data sets that meet functional/non-functional business requirements • Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability • Implement processes and systems to monitor data quality, ensuring production data is always available for key stakeholders • Design data integrations and data quality frameworks • Develop and implement data engineering strategies and best practices that align with business objectives and customer needs • Monitor and troubleshoot data pipelines and systems to ensure data quality, integrity, and availability • Conduct research on industry trends and best practices to improve data engineering capabilities and evaluate new data technologies and tools • Manage the software development life cycle and DevOps aspects of the code • Collaborate with data scientists and analysts to understand their data requirements and provide them with optimal data solutions • Create new data validation methods and data analysis tools

🎯 Requirements

• Bachelor’s degree in computer science, information technology, or a related field • A minimum of seven years of experience in data engineering or a similar role • Expert-level skills in Python, SQL databases such as PostgreSQL, and big data technologies such as Databricks and Spark • Hands-on experience building cloud resident data pipelines in AWS • Expert of data warehousing and data lake design, development and sustainment • Strong understanding of data governance, security, privacy, and retention policies and procedures • Strong communication, collaboration, and problem-solving skills • Experience with mentoring junior data engineers is an asset • High proficiency using agile software tools like Jira and following mature DevOps practices using GIT, Docker, and CI servers like Jenkins • Passion for data and innovation • Strong knowledge of data modeling, data architecture and data structures • Expert understanding with Agile and DevOps, including CI/CD technologies and practices

🏖️ Benefits

• Excellent insurance packages, 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 • Flexible time off (FTO) program • Flexible schedules • Flexible work locations • Paid parental leave benefit • 401(k)/RRSP plan with a 3% employer match