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Founding Data Engineer Jobs in Massachusetts (NOW HIRING)

Business Intelligence Engineer

Arlington, MA · On-site

$57.75 - $75/hr

At the time of its founding in 2002, Leader Bank had one branch office, $6.5 million in assets and ... Summary At Leader Bank, we recognize that data is an opportunity to create better experiences ...

At the time of its founding in 2002, Leader Bank had one branch office, $6.5 million in assets and ... Summary At Leader Bank, we recognize that data is an opportunity to create better experiences ...

Senior Controls Engineer

Woburn, MA · On-site

$140 - $210/hr

... directly with the founding team, and have significant latitude to make fundamental technical ... data. * Build plant models and perform model-based control design; validate models against ...

New

Description ABOUT THE ROLE We are looking for a founding engineer to join our team. You will be ... Developers are struggling with extracting and delivering high-quality monitoring data. Currently ...

Embed directly with product and engineering, translating real client workflows and pain points into ... data. * Fluency with modern bookkeeping and accounting software, and genuine enthusiasm for ...

$72K - $78K/yr

Visit job sites to perform project tasks including, field tests, data gathering, field inspections ... Since our founding in 1899, we have worked to build a collaborative, forward-thinking environment ...

Showing results 21-40

Founding Data Engineer information

What is a founding data engineer?

Founding Data Engineers are among the first technical hires at a startup, responsible for designing, building, and scaling the company's data infrastructure from the ground up. They work closely with founders and early team members to define data architecture, set up data pipelines, and ensure data quality and accessibility for product development and business insights. This role often requires a blend of software engineering, data modeling, and strategic decision-making skills, as well as the flexibility to adapt to rapidly changing priorities in a startup environment.

What are the unique challenges and opportunities of being a founding data engineer at an early-stage startup?

As a Founding Data Engineer, you'll face the challenge of building data infrastructure from scratch, often with limited resources and evolving requirements. You’ll work closely with founders and cross-functional teams to define data strategies, implement pipelines, and ensure data quality. This role offers significant influence over technical decisions and architecture, and you'll likely wear multiple hats, contributing to both backend engineering and data analytics. The fast-paced environment fosters rapid skill development and provides substantial opportunities for career growth as the company scales.

What are the key skills and qualifications needed to thrive as a founding data engineer, and why are they important?

To thrive as a Founding Data Engineer, you need strong expertise in data architecture, database design, and software engineering, often backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or GCP), ETL frameworks, programming languages (such as Python or Scala), and data warehousing tools is typically required. Exceptional problem-solving, adaptability, and collaboration skills set standout candidates apart in this role. These abilities are crucial for building scalable data systems and shaping the technical foundation of an early-stage company.

What is the difference between Founding Data Engineer vs Data Engineer?

AspectFounding Data EngineerData Engineer
Required CredentialsBachelor's or higher in CS, experience in startup environmentsBachelor's or higher in CS, relevant data tools experience
Work EnvironmentEarly-stage startups, high flexibility, broad responsibilitiesEstablished companies, specialized roles, structured teams
Employer & Industry UsageFounding teams, startups, tech companiesTech firms, finance, healthcare, large organizations
Search & Comparison IntentUnderstanding startup data roles, early-stage responsibilitiesStandard data engineering roles, career progression

The main difference between a Founding Data Engineer and a Data Engineer lies in their work environment and responsibilities. Founding Data Engineers typically work in startups, handling broad tasks and building data infrastructure from scratch, while Data Engineers in established companies focus on specific data pipelines within structured teams. Both roles require similar technical skills and educational backgrounds, but their scope and context differ significantly.

What are popular job titles related to Founding Data Engineer jobs in Massachusetts?

For Founding Data Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Founding Data Engineer jobs in Massachusetts look for?

The top searched job categories for Founding Data Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Founding Data Engineer jobs?

Cities in Massachusetts with the most Founding Data Engineer job openings:

Infographic showing various Founding Data Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Business Intelligence Engineer

Leader Bank

Arlington, MA • On-site

$57.75 - $75/hr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 6 days ago


Job description

Leader Bank is looking for exceptionally dedicated team members to join one of the region’s fastest growing community banks and mortgage lenders. At the time of its founding in 2002, Leader Bank had one branch office, $6.5 million in assets and 7 team members. Since then, the Bank has become one of the most successful banks in Massachusetts with $4.5 billion in assets, more than 400 team members, 7 branch offices, and annual mortgage originations of over $2 billion.

Exemplary products and an innovative spirit have driven Leader Bank’s rapid growth over the years, and our team members embrace these values. Our mission is to obsess over our clients, make them feel valued, and maintain long-term relationships with them by constantly enhancing our products and processes to always improve our client experience. For our team members, Leader Bank prioritizes competitive compensation and benefits, a healthy work-life balance, and an environment that fosters diversity and inclusion.

Summary


At Leader Bank, we recognize that data is an opportunity to create better experiences, smarter decisions, and value for our clients. As a BI engineer, you enable stakeholders to make data-driven decisions and turn insights into action through automation.
BI Engineer is responsible for designing, developing, and maintaining the Bank's enterprise reporting and analytics platform. This role bridges business reporting and data engineering by creating trusted data models, semantic layers, dashboards, and analytics solutions that empower data-driven decision-making across the organization.


The successful candidate will have deep experience with Snowflake, Retool/Power BI, Python, JavaScript, SQL, and modern data technologies. This individual will partner with business stakeholders, product teams, and technology teams to transform raw data into trusted, actionable insights while establishing scalable reporting and governance practices. 


Responsibilities

  • Data Modeling & Analytics
    • Design, develop, and maintain enterprise data models, semantic layers, and analytics-ready datasets in Snowflake.
    • Build and maintain data dictionaries, KPI definitions, and business metrics to ensure consistency across reporting platforms.
    • Develop scalable reporting architectures that support operational, analytical, and executive reporting needs.
    • Optimize data structures, queries, and warehouse performance for BI workloads.
  • Reporting & Visualization
    • Create and maintain dashboards, workflows and self-service reporting solutions using Retool, and other BI tools.
    • Partner with business stakeholders to understand requirements and translate business questions into actionable analytics.
    • Develop executive-level dashboards and operational reporting that provide meaningful business insights.
    • Ensure data visualizations are intuitive, accurate, and aligned with organizational goals.
  • Data Engineering & Automation
    • Develop and maintain ELT/ETL processes for structured and semi-structured data.
    • Build automated data validation, quality monitoring, and reconciliation processes.
    • Utilize Python, SQL, and JavaScript to automate reporting, data transformations, and analytics workflows.
    • Collaborate with Data Engineers to enhance data ingestion, transformation, and governance frameworks.
  • Governance & Quality
    • Establish and maintain data quality standards, validation rules, and monitoring processes.
    • Define and enforce data governance best practices, metadata management, and documentation standards.
    • Ensure compliance with security, privacy, and regulatory requirements.
    • Promote adoption of trusted data sources and standardized reporting practices.
  • Collaboration 
    • Work closely with business leaders, product managers, analysts, and engineering teams.
    • Participate in Agile planning, estimation, and solution design activities.
    • Provide guidance on analytics best practices, dashboard design, and data storytelling.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
  • 3+ years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or related disciplines.
  • 3+ years of hands-on experience with Snowflake or other relational databases.
  • 3+ years of experience building dashboards and analytics solutions using Power BI/Tableau/Retool or similar BI platforms.
  • Strong SQL expertise including performance optimization, dimensional modeling, and data warehouse design.
  • Strong Python programming experience for analytics, automation, and data processing.
  • Experience with JavaScript for dashboard customization, application development, and automation.
  • Experience building and maintaining ETL/ELT pipelines.
  • Knowledge of data governance, metadata management, and data quality principles.
  • Experience working with Git, CI/CD pipelines, and Agile development practices.
  • Preferred Qualifications:
  • Experience with dbt, Matillion or similar modern data stack technologies.
  • Experience working in banking, financial services, fintech, or regulated industries.
  • Familiarity with cloud platforms such as AWS.
  • Knowledge of API development and integrations.
  • Experience leveraging AI and machine learning tools to improve analytics and reporting.
  • Snowflake, Power BI, or cloud certifications.

Leader Bank offers an excellent compensation and benefits package including 401k plan with corporate match, medical and dental insurance, and the opportunity to work for a fast growing, local organization.


Leader Bank, N.A. is an Equal Opportunity and Affirmative Action employer and does not discriminate on the basis of race, color, religion, age, gender, marital status, sexual orientation, national origin, disability, military status, veteran status, or any other protected class.
The base salary range below represents the low and high end of the Leader Bank salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.

Salary Minimum: $85,000.00 - Salary Max: $110,000.00


The range listed is just one component of Leader Bank’s total compensation package for team members. Other rewards may include annual bonuses, commissions, short- and long-term incentives, and program-specific awards. In addition, Leader Bank provides a variety of benefits to eligible team members, including health insurance coverage, a team member wellness program, life and disability insurance, a retirement savings plan, paid holidays and paid time off and vacation.

Leader Bank, N.A. is an Equal Opportunity and Affirmative Action employer and does not discriminate on the basis of race, color, religion, age, gender, marital status, sexual orientation, national origin, disability, military status, veteran status or any other protected class.
Leader Bank is an E-Verify® participant. * For more information, click on the links below:
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