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Manager Data Analytics Engineer Jobs in Annapolis, MD

Lead Analyst- Data Analytics

Washington, DC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage data analtyics activities across our data analysis task * Must have the ability to ... Data Science, Statistics, or Engineering and a have undertaken at least 24 credit hours of ...

Analytics Engineer

Washington, DC · On-site

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Analytics Engineer Department: Sales & Marketing Employment Type: Full Time Location: Washington ... You'll connect data across subscriptions, newsletters, podcasts, video, live events, marketing ...

Lead Analyst- Data Analytics

Washington, DC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Manage data analtyics activities across our data analysis task * Must have the ability to ... Data Science, Statistics, or Engineering and a have undertaken at least 24 credit hours of ...

Data Engineer - Manager

Baltimore, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

... management, strategic communications, engineering, and cybersecurity. We have also grown our ... Position OverviewThe Data Analytics Technical Expert provides executive-level analytics leadership ...

Showing results 21-40

Manager Data Analytics Engineer information

See Annapolis, MD salary details

$44.1K

$128.4K

$175.7K

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

As of Aug 15, 2026, the average yearly pay for manager data analytics engineer in Annapolis, MD is $128,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 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.

What job categories do people searching Manager Data Analytics Engineer jobs in Annapolis, MD look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Annapolis, MD are:

What cities near Annapolis, MD are hiring for Manager Data Analytics Engineer jobs?

Cities near Annapolis, MD with the most Manager Data Analytics Engineer job openings:

Lead Analyst- Data Analytics

Amyx, Inc.

Washington, DC

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

Amyx is seeking to hire a Lead Analyst - Data Analytics to support our Department of Homeland Security, CISA contract in the Washington DC area.


  • Manage data analtyics activities across our data analysis task
  • Must have the ability to communicate accurate information

Required:

  • Current DHS Suitability Clearance
  • at least six (6) years of demonstrated experience acting as a senior data analyst, including at least three years applied to national security, defense security, or homeland security data.
  • a degree in the fields of Mathematics, Data Science, Statistics, or Engineering and a have undertaken at least 24 credit hours of quantitative based coursework (in the fields of mathematics, statistics, or engineering), including at least six credit hours of calculus.
  • experience in presenting and communicating the results of analysis to project stakeholders.
  • relevant certifications in the field of data science (e.g., Microsoft Certified Solutions Expert: Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS) Certified Big Data - Specialty, or SAS Certified Big Data Professional)

Benefits include:

  • Medical, Dental, and Vision Plans (PPO & HSA options available)
  • Flexible Spending Accounts (Health Care & Dependent Care FSA)
  • Health Savings Account (HSA)
  • 401(k) with matching contributions
  • Roth
  • Qualified Transportation Expense with matching contributions
  • Short Term Disability
  • Long Term Disability
  • Life and Accidental Death & Dismemberment
  • Basic & Voluntary Life Insurance
  • Wellness Program
  • PTO
  • 11 Holidays
  • Professional Development Reimbursement

Please contact talent@amyx.com with any questions!

Amyx is proud to be an Equal Opportunity Employer.  All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. Amyx is a VEVRAA federal contractor and we request priority referral of veterans.
Physical Demands
Employee needs to be able to sit at a workstation for extended periods; use hand(s) to handle or feel objects, tools, or controls; reach with hands and arms; talk and hear. Most positions require ability to work on desktop or laptop computer for extended periods of time reading, reviewing/analyzing information, and providing recommendations, summaries and/or reports in written format. Must be able to effectively communicate with others verbally and in writing. Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds. Regular and predictable attendance is essential.