Highlights
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 roles5+ years of hands-on experience with SQL and Python, building and maintaining scalable data pipelines5+ 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. Experience with modern data stack tools such as dbt, Airflow or Dagster, and CI/CD pipelinesProven experience designing and implementing enterprise-scale data architectures and data platformsFamiliarity with infrastructure-as-code (Terraform, CloudFormation) and DevOps best practicesExperience with data governance, data quality frameworks, and observability tools.
Numbers & Facts
| Location | Holyoke, MA |
| Industry | Energy and Utilities |
| Salary | $150,000–$170,000 Per Year |
| Company Size | 1,000 to 1,499 employees |
| Year Founded | 1996 |
| Website | https://www.iso-ne.com/ |
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.
What we offer you:
A stable, mission-driven workplace where your impact truly mattersA highly engaged work environment that values inclusion, collaboration, and employee safety and wellbeingCompetitive compensation with a base salary + performance bonusRobust benefits package, including:
Enhanced 401(k) and financial planning supportTuition reimbursement and professional developmentWellness programs, including an onsite gymFlexible work hoursEmployee Business Networks
Free coffee at our onsite café
Hybrid work environment (3 days/week onsite)Distance-based relocation assistance availablePaid on-call rotation
How you will make an Impact
Own Data Architecture & Solution DeliveryLead 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 & ReliabilityEnsure 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 & IntegrationPartner 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 LeadershipEvaluate 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.
What we are looking for
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 roles5+ years of hands-on experience with SQL and Python, building and maintaining scalable data pipelines5+ 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 solutionsAbility 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 pipelinesProven experience designing and implementing enterprise-scale data architectures and data platformsFamiliarity with infrastructure-as-code (Terraform, CloudFormation) and DevOps best practicesExperience 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.).
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.#LI-HYBRID
About Company
ISO New England helps protect the health of New England's economy and the well-being of its people by ensuring the constant availability of electricity, today and for future generations. ISO New England meets this obligation in three ways: by ensuring the day-to-day reliable operation of New England's bulk power generation and transmission system, by overseeing and ensuring the fair administration of the region's wholesale electricity markets, and by managing comprehensive, regional planning processes.