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Manager Data Analytics Engineer Jobs (NOW HIRING)

Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

SUMMARY The Data & Analytics Engineer is responsible for supporting and evolving Peterson ... Management may assign or reassign the functions to this job at any time due to reasonable ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Perform data analysis and profiling to understand source data and support quality outcomes

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Perform data analysis and profiling to understand source data and support quality outcomes

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

What You'll Do Help Build the Data Foundation * Execute the analytics engineering roadmap by ... Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and ...

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... Performs any other assignments as directed by manager. * Adheres to and complies with applicable ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineering & Data Management: * Contribute to the design, build, and maintenance of data ... Perform data analysis and profiling to understand source data and support quality outcomes

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA

$106K - $127K/yr

What You'll Do Help Build the Data Foundation * Execute the analytics engineering roadmap by ... Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and ...

John W. Danforth Company

Data Analytics Engineer

Syracuse, NY · On-site

$113K - $135K/yr

As a Data Analytics Engineer, you will play a critical role in enabling data-driven decision-making ... management, lineage, and compliance with security and regulatory standards. • Optimize data ...

Royal Caribbean Group

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

... Analytics Engineer Lead. The position is onsite and based in Miami, FL. The position is also not ... The Revenue Management Development and Systems team is responsible for all data, decision tools ...

SES

Data Analytics Engineer

Reston, VA · On-site

$119K - $143K/yr

Systems Engineering Services is seeking a Data Analytics Engineer based out of the Reston-DMV area. This position will require hybrid work in office in the Reston Town Center. Top 5 Technical Skills:

New

Forus Inc

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

You will also help define our data & analytics engineering practices: how we structure metrics, review code, manage pipelines, and build for scale. Your work will directly support everything from ...

Acro Service Corp.

Data Analytics Manager

Plano, TX · On-site

$70 - $80/hr

Data Analytics project Manager Duration: 7 months contract with possibility of extension Location ... Description: seeking for highly motivated and tech-savvy entry-level Data analytics engineer to ...

New

D'Addario & Company

Data Analytics Engineer

Farmingdale, NY · On-site

$116K - $140K/yr

The Business Intelligence team is looking for a hands-on Data Analytics Engineer to help build, transform, and optimize D'Addario's global data infrastructure. In this role, you'll design and ...

New

SES

Data Analytics Engineer

Washington, DC · On-site

$129K - $155K/yr

Data Insights and Visualization * Financial Services Domain Knowledge Seeking an experienced Data Analytics Engineer / Business UAT Tester with 7+ years of analytics, monitoring, visualization ...

New

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to ... Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua. * Strong ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our ... Translate ambiguous requests from Finance, Marketing, Revenue Management, Operations, and ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer Jobs

Manager Data Analytics Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do manager data analytics engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for manager data analytics engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
More about Manager Data Analytics Engineer jobs
What cities are hiring for Manager Data Analytics Engineer jobs? Cities with the most Manager Data Analytics Engineer job openings:
What are the most commonly searched types of Data Analytics Engineer jobs? The most popular types of Data Analytics Engineer jobs are:
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Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data & Analytics Engineer

Peterson

San Leandro, CA • On-site

$129K - $155K/yr

Full-time

Re-posted 20 days ago

Job description

It's your time, make it matter.
At Peterson, we partner with our customers to build the future. For over 85 years, our peoples' work has shaped the communities where we live, where we raise our families, and where we thrive. Peterson's legacy permeates every aspect of our communities. From roads and bridges, back-up power at hospitals, fire-fighting, concerts and moving goods; we are everywhere you look. At Peterson, you don't just have a career, you have a purpose.
Our family-oriented environment is built on safety, winning, growth, and professional achievement. Hiring and developing exceptional people is critical to our continued success. We have high standards for a good reason: our people represent Peterson, our family, our brand, and our values.
You have high expectations too. You are exceptionally motivated, have outstanding skills, and want your work to matter. Peterson offers competitive wages, generous benefits, and promotional opportunities at a family-owned and operated business. It's time to use your skills and passion to do work that matters!
Job Description
Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location.
SUMMARY
The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting, with a focus on modern cloud data platforms, layered data architecture, Power BI reporting, and AI enabled (including agentic) workflows to improve speed, quality, and scale-while maintaining data accuracy, governance, and trust.
ESSENTIAL JOB FUNCTIONS
The following reflects management's definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign or reassign the functions to this job at any time due to reasonable accommodation or other reasons. Job functions include the following. Other duties may be assigned.
  • Ingest and manage data across Raw, Transformed, and Curated layers based on business and analytics requirements.
  • Build and maintain data pipelines using modern cloud data architectures, including Snowflake and Microsoft Fabric, and support existing SQL Server Integration Services (SSIS) workloads and Azure Data Factory where applicable.
  • Design and develop curated, analytics-ready datasets using SQL-based transformation approaches.
  • Build and maintain reports, dashboards, and semantic models, primarily in Power BI.
  • Use Python and AI/agentic workflows to accelerate:
    • Data ingestion and schema discovery
    • Source-to-target mapping and transformation logic
    • ETL troubleshooting and optimization
    • Report and dashboard generation
    • Data validation, reconciliation, and impact analysis
  • Apply and maintain strong data quality, reconciliation, and documentation standards.
  • Support data ingestion, modeling, and analytics enablement for finance and enterprise resource planning (ERP) platforms, including Microsoft Dynamics.
  • Develop reusable data pipelines, transformation patterns, and data models to improve consistency and scalability.
  • Contribute to data and analytics standards, best practices, and frameworks as part of an evolving Data & Analytics Center of Excellence.
  • Partner with business, finance, and IT teams to define requirements, validate outputs, and deliver trusted analytics solutions.
  • Maintain punctual, regular, and predictable attendance.

QUALIFICATIONS
Bachelor's Degree from a fully accredited college in Data Science, Information Technology, Engineering, or other closely related field; and a minimum of three (3) years of directly related experience in data engineering, business intelligence, or analytics roles, preferably in a heavy industrial environment; or an equivalent combination of education and work experience. Must be comfortable working on-site and collaborating closely with business, finance, and IT teams.
Required Experience:
  • Strong SQL and data warehousing experience, with hands-on work in modern cloud data platforms (e.g., Snowflake, Microsoft Fabric, or similar), including ETL/ELT ingestion and transformations.
  • Experience with Python for data engineering, automation, and AI-enabled workflows.
  • Hands-on experience building production reports and dashboards (Power BI required; other BI tools acceptable).
  • Experience working with Microsoft integration tools, including SSIS and/or Azure Data Factory.
  • Experience supporting end-to-end data pipelines, from ingestion through analytics and reporting.

Preferred Experience:
  • Experience with modern cloud data platforms (e.g., Microsoft Fabric, Snowflake, or similar), with the ability to work across evolving architectures.
  • Finance domain knowledge (GL, revenue, costs, contracts).
  • Microsoft Dynamics or ERP data migration experience.
  • Experience working within the Microsoft ecosystem / Microsoft 365.
  • Experience with Spark/PySpark or notebook-based data processing for advanced transformations.

CERTIFICATES, LICENSES, REGISTRATIONS
None required
The pay range for this position is: $105,000.00 - $125,000.00 (Starting wage will depend on experience and education. We also offer a total compensation package in addition to base salary.)
#INDL
Peterson Holding Company is committed to equal employment opportunity and affirmative action. Minorities, females, veterans, and individuals with disabilities are encouraged to apply. A drug screen and background check is required.

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