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Manager Data Analytics Engineer Jobs in Laurel, MD

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into ... Comfortable working in a fast-paced environment and managing multiple priorities simultaneously

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into ... Comfortable working in a fast-paced environment and managing multiple priorities simultaneously

Sr. Analytics Engineer

Rockville, MD · On-site

$135K - $155K/yr

HyerTek is hiring a Sr. Analytics Engineer to design, build, and own the data and analytics layer ... Support data quality monitoring, root cause analysis, and continuous improvement across managed ...

Sr. Analytics Engineer

Rockville, MD · On-site

$135K - $155K/yr

HyerTek is hiring a Sr. Analytics Engineer to design, build, and own the data and analytics layer ... Support data quality monitoring, root cause analysis, and continuous improvement across managed ...

Sr. Analytics Engineer

Rockville, MD · On-site

$135K - $155K/yr

HyerTek is hiring a Sr. Analytics Engineer to design, build, and own the data and analytics layer ... Support data quality monitoring, root cause analysis, and continuous improvement across managed ...

Showing results 41-60

Manager Data Analytics Engineer information

See Laurel, MD salary details

$44.1K

$128.6K

$176K

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

As of Aug 8, 2026, the average yearly pay for manager data analytics engineer in Laurel, MD is $128,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 Laurel, MD look for? The top searched job categories for Manager Data Analytics Engineer jobs in Laurel, MD are:
What cities near Laurel, MD are hiring for Manager Data Analytics Engineer jobs? Cities near Laurel, MD with the most Manager Data Analytics Engineer job openings:

Data Analytics Developer

TechOp Solutions International

Washington, DC • On-site

Full-time

Posted 21 days ago


Job description

We are seeking a detail-oriented Data Analyst to join our team and contribute to our data-driven decision-making processes. The candidate will support the U.S. Customs and Border Protection’s Power Platform team by developing, maintaining, and enhancing Power BI dashboards, improving the structure of Excel, SharePoint, and SQL databases that feed into the Power BI dashboards, and creating ETL (Extract, Transform, Load) processes to facilitate the movement of data from legacy databases such as Excel and SharePoint to modernized databases such as SQL. The team’s current Power Platform solutions are utilized by 10,000+ users annually. The ideal candidate will possess a strong analytical mindset coupled with experience in database management or data migration (ETL).

Requirements

  • Collect, clean, and organize data from various sources into Power BI dashboards to display actionable insights to leadership and identify trends, patterns, and anomalies
  • Perform detailed analysis of datasets using Excel and other analytical tools to derive actionable insights
  • Manage Excel, SharePoint, and SQL database structures that store data fed to the Power BI dashboards
  • Present findings and insights to key stakeholders in a clear and understandable manner, using Excel and Power BI
  • Extract, transform, and load data from legacy databases such as Excel, SharePoint, and Access Databases to modernized databases
  • Replace ETL technology such as R-Studio and Informatica with Power Automate
  • Advanced proficiency with Microsoft PowerBI
  • Advanced proficiency with Microsoft Excel
  • Intermediate proficiency with SQL
  • Beginner proficiency with Relationship Database Management Systems (RDMS) architecture and database administration
  • Desirable Skills:
  • Beginner / Intermediate proficiency with Power Automate
  • Beginner proficiency with ETL technology such as R, Python, SQL, or SSIS
  • Functional Application Development Documentation proficiency