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Manager Data Analytics Engineer Jobs in Washington

Gigatec Engineering

Data Analytics Engineer

Annapolis, MD · 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 ...

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

... defect management, regression testing, and production readiness. . Advanced SQL skills with the ... Data Analysis * Python * SQL * Data Engineering * Data Engineering What you can expect from us:

Highspring

Manager, Data & Analytics

Mclean, VA

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Partner with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards. * Establish ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

... Data Analytics practice. * Deliver on projects in the areas of data management, data governance ... Experience programming in Python, SQL, and/or R. * Experience using GitHub (e.g., source code ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Washington

Manager Data Analytics Engineer information

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 are the most commonly searched types of Data Analytics Engineer jobs in Washington? The most popular types of Data Analytics Engineer jobs in Washington are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Washington? For Manager Data Analytics Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Washington look for? The top searched job categories for Manager Data Analytics Engineer jobs in Washington are:
What cities in Washington are hiring for Manager Data Analytics Engineer jobs? Cities in Washington with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you

Data Analytics Engineer

GIGATEC Engineering

Annapolis Junction, MD • On-site

$117K - $140K/yr

Full-time

Posted 28 days ago

Job description

Job Summary:
GIGATEC Engineering is seeking a Data Analytics Engineer to build workflow engines and design reliable Apache Airflow pipelines. The role involves ensuring data is efficiently processed for analytics and operational needs.
Responsibilities:
• In this key Data 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 and operational needs.
Qualifications:
Required:
• Top Secret clearance
• favorable completion of a polygraph
• authorized to work in the U.S.
• Experience using the Linux CLI and Linux tools
• Experience developing Bash scripts to automate manual processes
• Recent software development experience using Python and Java
• Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
• Experience using Distributed Big Data processing engines including Apache Spark
• Experience with containerization technologies such as Docker, containerd, and Podman
• Experience with Git Source Control System
Preferred:
• Experience using the Atlassian Tool Suite (JIRA, Confluence)
• Familiar with AWS Cloud Services and Infrastructure
• Appreciates a sense of humor and the occasional well-timed joke.
Company:
At GIGATEC, we specialize in engineering advancements across cybersecurity, software development, and systems integration. Founded in 2020, the company is headquartered in Columbia, USA, with a team of 2-10 employees. The company is currently Early Stage.

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