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Manager Data Analytics Engineer Jobs in Adamstown, MD

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 ...

VB Spine

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Lead, develop, and scale a team of data analysts and engineers -- including hiring, coaching, and ... management. * Hands‑on leadership style with the ability to operate at both strategic (roadmap ...

VB Spine, LLC

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Lead, develop, and scale a team of data analysts and engineers -- including hiring, coaching, and ... management. * Hands‑on leadership style with the ability to operate at both strategic (roadmap ...

VB Spine

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Lead, develop, and scale a team of data analysts and engineers - including hiring, coaching, and ... management. * Hands-on leadership style with the ability to operate at both strategic (roadmap ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Adamstown, MD

Manager Data Analytics Engineer information

See Adamstown, MD salary details

$41.4K

$120.7K

$165.2K

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 Adamstown, MD is $120,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $128,000.00 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 cities near Adamstown, MD are hiring for Manager Data Analytics Engineer jobs?

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

Manager Data Analytics Engineer jobs near you

Data Analytics Engineer (Datadog)

Frederick, MD • On-site

Prolim Global
IT Services • 201 - 500 employees
Learn more about Prolim Globalexternal

Contractor

Re-posted 7 days ago

Job description

Job Title: Data Analytics Engineer (Datadog)

Location: Frederick
Duration: 6 Months [ With possible extension] 
Experience: 8 + Years

Job Summary

We are looking for an experienced Data Analytics Engineer with strong hands-on expertise in Datadog and Performance Capacity Management (PCM). The ideal candidate will be responsible for building monitoring dashboards, analyzing application and business performance data, identifying trends, supporting capacity planning, and delivering actionable insights to improve system reliability and business operations.

Key Responsibilities
  • Design, build, and maintain Datadog dashboards, monitors, alerts, and APM solutions.
  • Analyze application, infrastructure, and business performance metrics to identify trends, anomalies, and optimization opportunities.
  • Perform performance and capacity analysis using Performance Capacity Management (PCM) methodologies.
  • Create and maintain dashboards and reports for business and technical stakeholders.
  • Support root cause analysis using Datadog logs, traces, and APM.
  • Develop daily, weekly, and monthly reports on system health, performance, and capacity utilization.
  • Collaborate with Engineering, Operations, and Business teams to define KPIs, SLAs, and SLOs.
  • Translate technical monitoring data into meaningful business insights and recommendations.
  • Maintain documentation for monitoring standards, reporting processes, and capacity management.
  • Recommend process improvements based on data-driven analysis.
Required Skills
  • 8–12 years of experience as a Data Analytics Engineer, Performance Analyst, or similar role.
  • Strong hands-on experience with Datadog (Dashboards, Monitoring, APM, Log Management, Alerting).
  • Experience with Performance Capacity Management (PCM) and Capacity Planning.
  • Strong SQL skills for data analysis and reporting.
  • Experience analyzing system performance and business metrics.
  • Knowledge of KPI, SLA, and SLO monitoring.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work collaboratively with Engineering, Operations, and Business teams.
Preferred Skills
  • Power BI or Tableau.
  • Advanced Microsoft Excel.
  • AWS, Azure, or GCP monitoring experience.
  • Python or R for data analysis and forecasting.
  • Knowledge of ITIL / IT Service Management (ITSM).
  • Datadog or ITIL certification is a plus.
Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field.

If you're passionate about data analytics, observability, performance monitoring, and capacity management, and have strong Datadog expertise, we'd love to hear from you