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Manager Data Analytics Engineer Jobs in Annapolis, MD

Data Analytics Engineer

Baltimore, MD Β· Hybrid

$113K - $136K/yr

Currently this is being managed through manual processes. You will also assist with ETL from ... in Data Analysis * 5+ Years of Experience in SQL Database Programming * Strong Knowledge of ...

Data Analytics Engineer

Baltimore, MD Β· Hybrid

$113K - $136K/yr

Currently this is being managed through manual processes. You will also assist with ETL from ... in Data Analysis * 5+ Years of Experience in SQL Database Programming * Strong Knowledge of ...

Data Analytics Engineer

Washington, DC

$129K - $155K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

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Data Analytics Engineer

Washington, DC Β· On-site

$129K - $155K/yr

As a Data Analytics Engineer at VIA, you'll play a pivotal role in the growth of our solutions. You'll turn raw, complex, and often ambiguous data into the clear, trusted narratives that power VIA ...

New

Data Analytics Engineer

Annapolis, MD Β· On-site

$113K - $136K/yr

... Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics ...

Sr. Data Analytics Engineer

Baltimore, MD Β· On-site +1

$125K - $165K/yr

Purpose of Role Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision ...

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Showing results 1-20

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 Sep 12, 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 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.

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 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.

What are popular job titles related to Manager Data Analytics Engineer jobs in Annapolis, MD?

For Manager Data Analytics Engineer jobs in Annapolis, MD, the most frequently searched job titles are:

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:

Data Analytics Engineer

Baltimore, MD β€’ Hybrid

Samprasoft
IT ServicesΒ β€’Β 1 - 10 employees

$113K - $136K/yr

Contractor

Posted 13 days ago


Job description

Analytics Engineer

Seeking a highly skilled and motivated Analytics Engineer to join a dynamic team. As a key contributor, you will be responsible for assisting with creation of automated data extractions, transformation, and loads (ETL) between various software systems managed by the client Equipment division. Currently this is being managed through manual processes. You will also assist with ETL from Equipment division software systems and their Data Warehouse (Microsoft Fabric Platform), and will create dashboards using Microsoft PowerBI for enhanced business insights. This is a contract to hire role with expectation to convert or extend after 6 months.

Required Skills:

  • Azure Data Factory
  • Microsoft Power Platforms (PowerBI, Power Automate, Power Apps)
  • Analytical Reporting and Dashboarding
  • Data Management and Pipelining (ETL)

Job Duties:

  • Assist with creating automated data extractions, transformations, and loads (ETL) between various software systems managed by the Equipment division. Currently this is being managed through manual processes.
  • Assist with ETL from Equipment division software systems and our Data Warehouse (Microsoft Fabric Platform).
  • Create Dashboards using Microsoft PowerBI for enhanced business insights and decision making for the Equipment division leaders.
  • Assist with the development of predictive analytics resources based on data in our Data Warehouse.

Job Requirements:

  • Excellent verbal and written communication skills
  • Must be onsite 3 days/week at: Baltimore, Maryland 21286
  • 5+ years of Experience in the Analytical Reporting and Dashboarding
  • 5+ years of Experience in Data Management and Pipelining (ETL)
  • 5+ years of Experience in Data Analysis
  • 5+ Years of Experience in SQL Database Programming
  • Strong Knowledge of Microsoft Power Platforms (PowerBI, Power Automate, Power Apps)
  • Enterprise Data Governance experience (Microsoft Purview Preferred)
  • Experience with data concepts, large data architectures and systems engineering towards data-centric solutions.
  • Experience working with cloud platforms (Azure) to leverage cloud services for scalable and flexible data solutions.
  • Excellent customer service skills
  • Strong technical, analytical, and problem-solving skills

Internal notes on clients tech:

  • Power BI Dashboard Visualization
  • Data Model development
  • Deep Excel Expertise
  • "Back-End" understanding to pull data
  • SQL primarily
  • Also, they use an Oracle based (on premise) ERP
  • ETL Process knowledge
  • Azure Analytics
  • Azure Data Lake
  • Azure Factory
  • Microsoft Fabric (new)

Communication, team collaboration and other soft skills are equally as important. Also someone that lives nearby who is willing to be onsite 5 days per week.

Desired Skills & Experience:

  • Knowledge of construction industry (preferred)
  • Experience with Azure Data Factory (preferred)
  • Should have experience working in Agile methodology.
  • Oracle

Required Skills: Data Analysis

Basic Qualification:

Additional Skills:

This is a high PRIORITY requisition.