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Data Engineer Manager Jobs in Amherst, MA (NOW HIRING)

The Computer Merchant, Ltd

Data Engineer

Springfield, MA · On-site

$78 - $84/hr

Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE*: $78 - 84/ hour JOB NUMBER ... Leadership experience as a technical lead, architect, or people manager within data, analytics, or ...

Lancesoft

Data Analytics Engineer

Springfield, MA · On-site

$80 - $85/hr

... management, threat exposure, control effectiveness, and risk insights. * Work directly with data ... G., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, insight ...

Praxt Talent

Director, Data Platforms

Springfield, MA

$160K - $215K/yr

Leadership of Data Engineering & Platform Operations. • Ensure robust monitoring, observability, alerting, and incident management across all data flows. • Oversee the performance and daily ...

New

ECI

Engineering Manager

Westfield, MA · On-site

$150K - $200K/yr

... Engineering Manager to design, develop, and validate custom magnetic devices--including ... access to technical data subject to U.S. export control laws, including ITAR. Employment is ...

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Amherst, MA

Data Engineer Manager information

See Amherst, MA salary details

$43.8K

$127.8K

$174.8K

How much do data engineer manager jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data engineer manager in Amherst, MA is $127,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,400.00 per year, depending on experience, location, and employer.

What are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What engineers make 200,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $200,000 or more annually, especially in high-demand industries or large organizations. These roles typically require advanced skills in data architecture, cloud platforms, and leadership, along with several years of experience.

What engineers make 300,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $300,000 or more annually, especially in high-cost-of-living areas or within large tech companies. These roles typically require advanced skills in cloud platforms, data architecture, and leadership, along with extensive industry experience and relevant certifications.

What does a data engineer manager do?

A data engineer manager oversees teams responsible for designing, building, and maintaining data pipelines and infrastructure. They coordinate data collection, storage, and processing efforts, often using tools like SQL, Hadoop, or Spark, and ensure data quality and security while aligning projects with organizational goals.

What are the key skills and qualifications needed to thrive in the Data Engineer Manager position, and why are they important?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, performance bonuses, and stock options in large organizations or tech companies.
What are the most commonly searched types of Data Engineer jobs in Amherst, MA? The most popular types of Data Engineer jobs in Amherst, MA are:
What are popular job titles related to Data Engineer Manager jobs in Amherst, MA? For Data Engineer Manager jobs in Amherst, MA, the most frequently searched job titles are:
What cities near Amherst, MA are hiring for Data Engineer Manager jobs? Cities near Amherst, MA with the most Data Engineer Manager job openings:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Amherst, MA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,753 per year, or $61.4 per hour.
Data Engineer

Data Engineer

The Computer Merchant, Ltd

Springfield, MA • On-site

$78 - $84/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

JOB TITLE: Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE*: $78 - 84/ hour JOB NUMBER: 37477090 REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands‐on experience in data engineering, analytics, or data architecture. Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns. Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies. Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk). Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases. Experience collaborating closely with data engineering, platform, and architecture teams to ensure long‐term operability and support. CISM CISSP Preferred Qualifications Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience). Demonstrated experience applying advanced analytics techniques (e.g., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems. Experience incorporating or experimenting with AI‐enabled analytics or development tools (e.g., Claude, AI code assistants, agent‐based analytics) in a secure enterprise environment. Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices. Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive‐ready, actionable insights. Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE Telecommunication & CK. Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms. Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities. Track record of leading or delivering end‐to‐end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision‐making. Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non‐technical audiences. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

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