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Data Jobs in Springfield, MA (NOW HIRING)

Business Data Analyst

Hartford, CT · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every ...

Sr. Data Engineer

Simsbury, CT

$116K - $139K/yr

We are seeking a skilled and motivated Sr Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and optimizing data pipelines and ETL processes ...

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD: * Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures, triggers ...

Senior Data Analyst

Windsor, CT · On-site

$85K - $107K/yr

Perform deep-dive data analysis to identify business opportunities, risks, and performance drivers. * Partner with stakeholders to define KPIs, metrics, and reporting standards. * Guide junior ...

Epic | Power BI | Team Leadership Role Overview We are seeking a Data Manager to lead data systems, reporting, and analytics efforts within a large, shared Epic environment supporting community ...

Data Engineer Fellow

Hartford, CT · On-site

$115K - $138K/yr

As a Data Engineer Fellow, you will support the development and maintenance of NHHRI's cloud-based population health data warehouse by designing scalable schemas, integrating public-sector datasets ...

Experience with Big Data execution using Hadoop / Horton Works. Experience with text mining using GATE or UIMA. Good Knowledge of indices such as Apache Solr, Lucien and Elastic Search will be plus.

Senior Data Scientist

Hartford, CT · On-site

$110K - $166K/yr

Sr Data Scientist - GD07AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

The Director/AVP, Data Architect is a senior technical leader responsible for designing, building, and evolving enterprise data platforms that place analytics at the core of decisionmaking. This role ...

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Showing results 1-20

Data information

See Springfield, MA salary details

$45.8K

$164.4K

$242.6K

How much do data jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data in Springfield, MA is $164,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $169,400.00 per year, depending on experience, location, and employer.

What jobs are in data?

Jobs in data include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and often involve analyzing large datasets to support business decisions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What jobs pay 200,000 a year in the USA?

In the data field, roles such as data scientists, data engineers, and analytics managers can earn $200,000 or more annually, especially with extensive experience, advanced skills in programming and machine learning, and working in high-demand industries. Executive positions like Chief Data Officer or senior data leadership roles also typically reach or exceed this salary level. These roles often require advanced degrees, certifications, and a strong track record of project success.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include roles such as senior corporate executives, investment bankers, specialized surgeons, and successful entrepreneurs. These positions often require advanced degrees, extensive experience, and specialized skills, and may involve long hours and high levels of responsibility.
What are the most commonly searched types of Data jobs in Springfield, MA? The most popular types of Data jobs in Springfield, MA are:
What are popular job titles related to Data jobs in Springfield, MA? For Data jobs in Springfield, MA, the most frequently searched job titles are:
What cities near Springfield, MA are hiring for Data jobs? Cities near Springfield, MA with the most Data job openings:
Infographic showing various Data job openings in Springfield, MA as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $164,441 per year, or $79.1 per hour.
Director, Data Platforms

Other

Posted 7 days ago


Job description

POSITION SUMMARY: The Director of Data Platforms is the technology leader responsible for the vision, strategy, operations, and continuous improvement of Farm Credit Financial Partners’ enterprise data ecosystem.

This role defines and drives FPI’s Lakehouse strategy, Databricks adoption, data engineering direction, observability, AI enablement, data availability, and platform modernization, ensuring secure, accurate, and timely data delivery for all ACA customers and internal stakeholders. The Director of Data Platforms owns the strategic roadmap for data ingestion, transformation, quality, integration, lineage, metadata, storage, and platform reliability. This leader ensures FPI''s data systems meet financial services–grade SLAs, are ready for AI and advanced analytics, and support the evolving needs of Farm Credit institutions.

DUTIES AND RESPONSIBILITIES:

Strategic Platform Vision & Architecture

  • Define the multi-year data platform strategy, including modernization, AI enablement, governance integration, and cloud-native capabilities.
  • Own the technical strategy of the Lakehouse environment
  • Ensure platform design meets financial-sector requirements for availability, resiliency, auditability, and scale.
  • Drive the adoption of modern data engineering patterns (streaming, automation, MLOps, domain-oriented modeling, Data Lake best practices).

Leadership of Data Engineering & Platform Operations.

  • Ensure robust monitoring, observability, alerting, and incident management across all data flows.
  • Oversee the performance and daily operational SLAs, including the critical ACA data availability window.
  • Serve as the organizational owner of Databricks strategy, engineering standards, and optimization.
  • Ensure secure, well-governed, cost-optimized use of computers and storage.
  • Build platform capabilities to support advanced analytics and enterprise AI (GenAI and ML).

Governance, Risk, Security, and Compliance Integration

  • Partner closely with Data Governance, Security, and Compliance teams to embed controls into platform design.
  • Ensure platforms support end-to-end lineage, metadata accuracy, and audit-ready documentation.
  • Oversee access management, data contracts, schema controls, and segregation-of-duties policies.
  • Build scalable governance automation into engineering workflows.

Organizational & Cultural Leadership

  • Establish a culture of reliability, automation-first engineering, operational excellence, and innovation.
  • Drive transformation from legacy approaches to modern, cloud-based, AI-enabled data platform methods.

  

MANAGERIAL FUNCTIONS 

  • Oversee daily team operations to ensure alignment with organizational policies while facilitating effective communication, collaboration, continual improvement, and knowledge sharing within the team and across organization. 
  • Provide clear direction, goals, and priorities to direct report(s) while mentoring them to enhance their skills and support their professional development 
  • Foster a positive and inclusive work environment that supports employee engagement. 
  • Address conflicts with professionalism and fairness, serving as the first point of contact for employee(s) communication and escalating issues appropriately in collaboration with HR when necessary. 
  • Ensure employee(s) adherence to organizational policies and procedures by promoting and modeling compliance with labor laws, workplace standards, and ethical practices in all people management activities. 
  • Manage administrative responsibilities, including reviewing and approving weekly timecards, processing time-off requests, tracking compliance tasks, and supporting team adherence to organizational policies and deadlines. 
  • Conduct performance reviews by setting and communicating clear expectations and objectives, monitoring performance against goals, providing continuous feedback, and addressing performance issues promptly and effectively. 
  • Oversee talent management processes for reports, including hiring, termination, performance evaluations, and pay reviews, ensuring alignment with unit objectives and adherence to company policies and procedures. 

MINIMUM KNOWLEDGE AND EDUCATION REQUIREMENTS

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (Master’s preferred).
  • Typically, 12+ years of experience in data engineering, data platforms, or cloud architecture with at least 5 years leading multi-team organizations.
  • Deep expertise with Databricks technologies, including Spark, workflows, cluster management, and Unity Catalog.
  • Proven experience running mission-critical data platforms with strict SLAs and monitoring.
  • Strong understanding of AI/ML engineering and enabling infrastructure
  • Experience with data governance integration (lineage, metadata, schema management, Collibra or similar).
  • Demonstrated success in leading modernization programs and large-scale cloud platform initiatives.
  • Excellent communication and relationship-building skills with technical and executive stakeholders.
  • Experience working in financial services or other regulated industries highly preferred.

ESSENTIAL FUNCTIONS

·       Ability to report to work in person and to attend work-related functions/activities.

·       Ability to work at a desk and use a computer for extended periods.

·       Ability to lift, carry, and move objects up to 10 pounds occasionally.

·       Ability to occasionally travel as required.

·       Ability to type and utilize various software programs efficiently and operate general office equipment.

·       Ability to work in an office setting with moderate noise levels.

·       Additional physical demands include, but may not be limited to, frequent talking or hearing, occasional push/pull, stoop/kneel, bend/twist, and reach to retrieve or move items in a typical office environment.

·       Must be able to work scheduled hours and overtime as needed.

·       Hybrid or remote work arrangements

o   This role has been designated as a Hybrid role, which gives employees the opportunity to work from home on Mondays and Fridays and working in the office on Tuesdays, Wednesdays, and Thursdays.  

o   Please note that the Company retains the right to change a position’s designation at any time.

o   Exceptions to the designated work arrangement may be made based on business needs

·       Ability to concentrate and focus on details when reviewing documents, analyzing data, and performing computer-based tasks.

·       Ability to manage multiple tasks and deadlines while maintaining accuracy and efficiency.

·       Ability to problem-solve efficiently and make sound decisions.

·       Ability to manage job-related stress and interactions with clients, colleagues, or external parties.

·       Ability to communicate ideas clearly in both verbal and written form.

·       Ability to work with others in a collegial and collaborative manner

This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job.  Duties, responsibilities, and activities may change at any time with or without notice.

REASONABLE ACCOMMODATION: Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of their position.Â