Manager, Data Engineering

March 20

⛰️ Colorado – Remote

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

🗽 New York – Remote

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

+2 more states

⛰️ Colorado – Remote 🗽 New York – Remote 🔔 Pennsylvania – Remote ☕ Washington – Remote

💵 $120.1k - $197.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Apply Now

Receive Emails with Similar Jobs

Omnidian

WebsiteLinkedInAll Job Openings

Omnidian is a leader in providing comprehensive solar solutions for commercial and residential developers, owners, and investors nationwide. The company offers proactive monitoring and intelligent diagnostics, as well as guarantees for system performance with a robust service network. They specialize in investment protection and expert support, ensuring maximized system uptime and return on investment (ROI) for their clients. Omnidian serves over 200 of the nation’s leading commercial solar owners and operators, offering their award-winning proprietary technology to streamline solar needs.

Residential Solar • Operations and Maintenance • Asset Management • Asset Performance Management • Commercial Solar

51 - 200 employees

Founded 2015

⚡ Energy

📋 Description

• Omnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries. • We are looking for an experienced Data Engineering Manager to drive our Data Engineering efforts. • You will lead a cross functional team of Data Engineers (a mix of direct and dotted-line reports), own, enhance and update Data Engineering processes and standards, understand company needs, and own and execute critical projects on our Data Engineering roadmap. • This role sits within our Engineering department and will report directly to our Director of Data Management and Information Security. • This role is remote, but there would be a preference in location to where some of this team is located: Pittsburgh, Seattle, Upstate NY, Denver area.

🎯 Requirements

• 5+ years experience as a Data Engineer • 3+ years experience as a people manager • Experience successfully managing large scale data engineering projects • Proficiency with distributed systems like Spark, Kafka and data lakes • Experience working with time series and/or IoT data • Experience with cloud platforms like AWS or Azure • Understanding of data modeling principles • Proficiency with object oriented programming languages such as Python • Comfortable with SQL • Data Engineering Expertise: You have in-depth knowledge of Data Engineering processes and standards. • Data Architecture Experience: You are comfortable with data architecture and patterns for both structured and unstructured data. • Leadership Abilities: You possess strong leadership skills, with the ability to provide mentoring cross-functionally. • Communication: You have excellent verbal and written communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. • Value Creation: You understand business needs, users, technology, and data, and collaborate with stakeholders to design and deliver data solutions that provide business value. • Problem-Solving: You demonstrate strong analytical and problem-solving abilities, with a proactive approach to identifying issues and implementing effective solutions.

🏖️ Benefits

• Midpoint: $155,000 • Comprehensive Benefits: We've got you covered with 100% of health insurance monthly premiums for employees, and 50% for dependents. • Performance Bonus: Because exceptional work deserves exceptional rewards. Eligibility begins after 90 days. • Equity Stake: Join us in shaping the future and be rewarded for your dedication with stock options. • Continuous Growth: Up to $500 annual learning reimbursement because investing in your development is investing in our success. • Committed to Parity: We place candidates within the band based on professional experience, not negotiating skills, as part of our overall effort to avoid gender pay discrepancy.