Lead Data Engineer
Role details
Job location
Tech stack
Job description
We have an important role to play in securing the region's clean and reliable energy future and are looking for a Data Engineer to join our team. In this role, you will design, develop, and maintain the enterprise data warehouse, data marts, and BI data systems that support business decision-making and strategic initiatives. You will build reliable, scalable data solutions, improve efficiency through automation and innovation, and help ensure the quality, integrity, and performance of our data platforms., Lead the design and implementation of scalable data platforms, including data warehouses, data marts, and ETL/ELT pipelines. Establish standards and best practices for data modeling, transformation, and system design.
- Drive Platform Performance & Reliability
Ensure high availability and performance of data systems through optimization, monitoring, and operational excellence. Oversee pipeline reliability, database performance, and production readiness for mission-critical workloads.
- Lead Data Strategy & Integration
Partner with business and IT stakeholders to align data architecture with organizational goals. Drive integration of data systems and ensure consistency, accessibility, and usability of enterprise data.
- Advance Innovation & Technical Leadership
Evaluate and adopt new tools, frameworks, and emerging technologies. Provide mentorship and technical leadership to the data engineering team, fostering continuous improvement and engineering excellence.
- Participate in a 24/7 on-call rotation to support mission-critical analytics in production.
Requirements
Do you have experience in Team leadership?, Do you have a Master's degree?, * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (Master's degree preferred)
- 8+ years of experience in data engineering, business intelligence, or analytics roles
- 5+ years of hands-on experience with SQL and Python, building and maintaining scalable data pipelines
- 5+ years of experience with cloud-based data platforms (AWS preferred: S3, Lambda, Athena, Aurora, Glue, Redshift)
- Strong expertise in relational data modeling, database design, and performance optimization (PostgreSQL preferred)
- Experience mentoring and developing engineers, fostering best practices, code quality, and a culture of continuous improvement.
- Strong communication skills with the ability to translate business requirements into scalable data solutions
- Ability to influence architectural decisions and collaborate cross-functionally with engineering, analytics, and business teams
Preferred Qualifications
- Experience with modern data stack tools such as dbt, Airflow or Dagster, and CI/CD pipelines
- Proven experience designing and implementing enterprise-scale data architectures and data platforms
- Familiarity with infrastructure-as-code (Terraform, CloudFormation) and DevOps best practices
- Experience with data governance, data quality frameworks, and observability tools
This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).
Benefits & conditions
1 Sullivan Rd, Holyoke, MA 01040 Hybrid work $150,000 a year - Full-time, Pulled from the full job description
- Tuition reimbursement
- AD&D insurance
- 401(k)
- Health insurance
- Paid time off
- Vision insurance
- Health savings account, * Competitive compensation with a base salary + performance bonus
- Robust benefits package, including:
- Enhanced 401(k) and financial planning support
- Tuition reimbursement and professional development
- Wellness programs, including an onsite gym
- Flexible work hours
- Employee Business Networks
- Free coffee at our onsite café
- Hybrid work environment (3 days/week onsite)
- Distance-based relocation assistance available
- Paid on-call rotation
How you will make an Impact
- Own Data Architecture & Solution Delivery, The expected salary range for a Lead Data Engineer is $150,000 - $170,000 per year. We will also consider a Mid to Senior level Data Engineer. The pay range for the Mid to Senior level is $110,000 - $150,000 annually. This role is also eligible for an annual performance bonus, comprehensive health insurance (medical, dental and vision), flexible spending and health savings accounts, a 401(k) plan with generous employer contributions and a student debt benefit, life and AD&D insurance, disability insurance, critical illness and hospital indemnity benefits, paid time off, paid leave, a wellness program, an employee assistance program and other great company perks.