1

Manager Data Analytics Engineer Jobs in Frederick, MD

Compile, analyze, and visualize findings from secondary marketing and/or sales data (including ... Bachelor's degree, with a preference for a quantitative field (e.g., Engineering, Data Science ...

Compile, analyze, and visualize findings from secondary marketing and/or sales data (including ... Bachelor's degree, with a preference for a quantitative field (e.g., Engineering, Data Science ...

General Data Engineering & Reporting Responsibilities: * Utilize Microsoft Excel and Power Query to ... management experience with an additional emphasis of related reporting and analytics * 4+ years of ...

Data Analyst

Frederick, MD · On-site

$90 - $130/hr

Provide ongoing analytics and evidentiary support for the congressionally mandated AFWCF audit ... General Data Engineering & Reporting Responsibilities:Utilize Microsoft Excel and Power Query to ...

Staff Data Engineer

Clarksburg, MD · On-site

$145 - $175/hr

... that serve analytics, machine learning, and reporting use cases. * Implement data quality ... Qualifications * 6+ years of hands‑on experience in data engineering, data warehousing, or ...

New

Showing results 41-60

Manager Data Analytics Engineer information

See Frederick, MD salary details

$44.2K

$129K

$176.5K

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

As of Aug 21, 2026, the average yearly pay for manager data analytics engineer in Frederick, MD is $128,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,700.00 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 Frederick, MD?

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

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

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

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

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

Sr. Data Engineer with Security Clearance

Connsci

Gaithersburg, MD • On-site

$123K - $148K/yr

Other

Posted 6 days ago


Job description

Connsci is seeking a Senior Data Engineer to join our growing organization in support of one of our government customers. This individual will own the development and delivery of a cloud-based data anomaly detection application. This role will set up a hosted infrastructure and will architect, lead and manage development activities according to a formal project schedule and deliverables plan, while providing hands-on technical support and leadership across data engineering, software development, analytics, anomaly detection, reporting, and system delivery. The solution is built on the Databricks Medallion architecture, with complex business-rule logic used to identify, organize, and present anomalies in the data set through Power BI and related dashboard capabilities in an Azure Government virtual environment. Key Responsibilities - Design and maintain secure data ingestion pipelines using Azure Data Factory, API Management, and SFTP
- Development and implementation of the data anomaly detection system, which will be hosted on Azure Gov. Cloud and based on Databricks Medallion architecture, Power BI reporting, and related application components.
- Create reports and technical documentation, mentor staff, resolve blockers, and ensure technical quality across Databricks, Power BI, and hosted web application components.
- Analyze source data from multiple systems with varying schemas.
- Develop and process data ingestion, rationalization, and analytic programming to support accurate anomaly detection.
- Manage data storage in Azure Data Lake Storage Gen2 (bronze/silver/gold architecture) with evidentiary controls (immutability, hashing, lineage).
- Optimize pipelines for performance, scalability, and cost efficiency across DEV, TEST, POC, PROD environments.
- Support development of business-rule logic used to classify, flag, summarize, and display anomalies in the hosted dashboard application.
- Maintain system security in compliance with NIST 800-53, 800-171, and related standards.
- Maintain technical work plans aligned to project milestones, contract deliverables, customer priorities, and formal schedule requirements.
- Maintain development, documentation, and functional quality standards.
- Track, communicate, and report on technical status, risks, dependencies, and schedule compliance to project leadership and customer stakeholders. Our Ideal Candidate Will Have - Strong understanding of the software development lifecycle (SDLC), system architecture, application integration, and associated documentation requirements.
- Experience working with imperfect, inconsistent, incomplete, or high-volume datasets.
- Excellent written and verbal technical and professional communication skills.
- Strong leadership, organizational, planning, scheduling, documentation, and problem-solving abilities. Required Qualifications - Bachelor's degree in IT, Computer Science, Engineering, or related field; or an equivalent combination of education and experience.
- At least 10 years of experience in software engineering, data engineering, or business intelligence.
- At least 5 years of experience designing, building, and deploying web-based applications.
- At least 5 years of experience managing software development projects with formal schedules, milestones, and phased customer deliverables.
- At least 5 years of experience with Power BI, ETL/ELT development, data modeling, dashboard and reporting solutions, and secure cloud environments.
- At least 2 years of experience with Databricks Medallion architecture (Bronze, Silver, Gold).
- At least 3 years of experience with data modeling and transformation using SQL and PySpark. Preferred Qualifications - Prior experience supporting government, inspector general, audit, investigation, complaint, or other regulated case-management environments.
- Experience with Azure Government
- Relevant Microsoft Azure and Databrick certifications.
- Experience designing high-reliability intake solutions where incoming records must be traceable, recoverable, auditable, and processed without manual intervention. About Connsci At Connsci, our mission is to be a trusted strategic partner for our clients, helping them achieve impactful results by addressing mission-critical issues that affect their bottom line. We recognize the importance of customizing our services to best fit our clients' needs and understanding what it takes to propel their organizations forward. By implementing industry-leading best practices and leveraging our multifaceted experience and expertise, we deliver services that are essential for any organization aiming to reach its goals. What You Can Expect: - Collaboration and Innovation: Work in an environment where collaboration and innovation are key. You'll have the opportunity to contribute to projects that make a real difference for our clients.
- Professional Growth: Be part of a team that values professional development. We offer opportunities for growth and advancement, allowing you to enhance your skills and career.
- Impactful Work: Engage in meaningful work that addresses mission-critical issues and supports organizations in achieving their goals. By joining Connsci, you'll become part of a dedicated team that is committed to delivering strategic, impactful solutions tailored to our clients' unique needs, enabling them to achieve their goals with confidence and efficiency. If you're passionate about cybersecurity and IT services, and eager to contribute to a dynamic team, we encourage you to explore opportunities with us. At this time, Connsci will not sponsor a new applicant for employment authorization for this position. Connsci is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Connsci makes hiring decisions based solely on qualifications, merit, and business needs at the time.