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Data Analytics Engineer Jobs in Perryville, MD (NOW HIRING)

Stellent IT LLC

Cloud Data Engineer

Nottingham, MD · On-site

$114K - $136K/yr

Cloud Data Engineer Nottingham, Maryland(Hybrid, 2 3 days on-site / week) Phone + SKype Visa : USC ... Supports business decisions with ad-hoc analysis as needed. Participate in the rotation of after ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Perryville, MD

Data Analytics Engineer information

See Perryville, MD salary details

$43.3K

$126.3K

$172.8K

How much do data analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analytics engineer in Perryville, MD is $126,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What job categories do people searching Data Analytics Engineer jobs in Perryville, MD look for? The top searched job categories for Data Analytics Engineer jobs in Perryville, MD are:
What cities near Perryville, MD are hiring for Data Analytics Engineer jobs? Cities near Perryville, MD with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Perryville, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $126,251 per year, or $60.7 per hour.

Program Integration Analyst

Bowhead

Aberdeen Proving Ground, MD • On-site

Full-time

Re-posted 6 days ago

Job description

Overview

Program Integration Analyst:

Bowhead seeks a Program Integration Analyst with strong analytical skills, emerging AI proficiency, and a demonstrated initiative in developing programmatic products with minimal direction. This role supports the ICO and requires familiarity with Acquisition or Foreign Military Sales (FMS) processes. The ideal candidate is inquisitive, proactive, and capable of leveraging AI, Excel, and PowerPoint to consolidate, extrapolate, and present data that enhances directoratelevel decisionmaking.

Responsibilities
  • Program Integration Support - Provide program integration awareness across ICO activities, ensuring alignment with acquisition and FMS requirements.
  • AIEnabled Data Consolidation - Use AI tools (leveraging enterprise or personal experience) to synthesize, refine, and interpret data to support leadership priorities and modernization efforts.
  • Product Development - Independently develop initial drafts of programmatic products, briefings, trackers, and analytical deliverables without requiring detailed templates or stepbystep direction.
  • Iterative Refinement - Incorporate leadership feedback to refine products, improve clarity, and ensure alignment with mission objectives.
  • Metrics & Reporting - Build and maintain Excelbased and PowerPointbased tools to track performance, identify trends, and communicate mission impacts.
  • Acquisition & FMS Awareness - Apply working knowledge of acquisition processes and FMS programmatic components to support ICO coordination with PEOs and USASAC.
  • Data Visualization - Develop clear, compelling visualizations and dashboards to support leadership decisionmaking.
  • Tasker Management - Thoughtfully action taskers, maintain awareness of deadlines, and ensure timely, accurate responses.
  • EnterpriseLevel Perspective - Understand directoratewide priorities while also supporting branchlevel requirements and crossorganizational coordination.
Qualifications

EDUCATION

  • Bachelor's degree in Business, Data Analytics, Engineering, or related field; or equivalent experience.
  • Three (3+) years of relevant experience

REQUIRED SKILLS & EXPERIENCE

  • Excel Proficiency - Ability to build trackers, analyze datasets, and present findings.
  • AI Tools Experience - Demonstrated use of AI for data consolidation, summarization, or analytical support (personal or enterprise).
  • PowerPoint Expertise - Skilled in developing executiveready briefings and visual products.
  • Initiative & Creativity - Proven ability to develop solutions independently and propose wellreasoned approaches before receiving detailed guidance.
  • Analytical Mindset - Strong ability to interpret data, identify trends, and communicate impacts.
  • Communication Skills - Ability to brief leadership and translate complex information into actionable insights.

PREFERRED EXPERIENCE

  • Experience supporting SAMD, ICO, PEO/ PMs, or USASAC.
  • Acquisition Knowledge, FMS Familiarity, or a contracting background.
  • Familiarity with AIassisted analytics, automation tools, or data visualization platforms.

KEY ATTRIBUTES

  • Eager and inquisitive, with a desire to explore new tools and methods.
  • Selfstarter who thrives with broad guidance and minimal oversight.
  • Creative problemsolver who can conceptualize products from scratch.
  • Detailoriented, yet able to maintain an enterpriselevel perspective.

Physical Demands:

  • Must be able to lift up to 25 pounds
  • Must be able to stand and walk for prolonged amounts of time
  • Must be able to twist, bend and squat periodically

SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level.  US Citizenship is a requirement for Secret clearance at this location.

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Employment Type: FULL_TIME

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