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Analytics Engineer Jobs in Baltimore, MD (NOW HIRING)

The Analytics Developer is responsible for coding and designing analytical solutions that turn data into knowledge. This position will work closely with business and system/technology subject matter ...

The Analytics Developer is responsible for coding and designing analytical solutions that turn data into knowledge. This position will work closely with business and system/technology subject matter ...

The Analytics Developer is responsible for coding and designing analytical solutions that turn data into knowledge. This position will work closely with business and system/technology subject matter ...

Structural Analysis Engineer Jr. BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we ...

HyerTek is hiring a Senior Analytics/AI Engineer to design, build, and own the data, analytics, and AI layer powering our secure federal solutions. You will model data, build the transformation and ...

Structural Analysis Engineer Jr. BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we ...

Senior Structural Analysis Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we ...

Senior Structural Analysis Engineer BELONG. CONNECT. GROW. with KBR. Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we ...

Showing results 21-40

Analytics Engineer information

See Baltimore, MD salary details

$62.8K

$109.7K

$178.9K

How much do analytics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for analytics engineer in Baltimore, MD is $109,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,928.00 and $123,143.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Baltimore, MD? The most popular types of Analytics Engineer jobs in Baltimore, MD are:
What are popular job titles related to Analytics Engineer jobs in Baltimore, MD? For Analytics Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Baltimore, MD look for? The top searched job categories for Analytics Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Analytics Engineer jobs? Cities near Baltimore, MD with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Baltimore, MD as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $109,709 per year, or $52.7 per hour.

Senior Analytics and Visualization Engineer

Peraton

Annapolis Junction, MD • On-site

Full-time

Posted 22 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

47th of 221 rated it services


Job description

Responsibilities

Peraton Labs is seeking a Senior Analytics & Visualization Engineer to support the BNATCS CTO DCC (Digital Command Center) team to design and develop decision-support dashboards that transform complex program, operational, schedule, requirements, risk, and aviation data into clear, trusted, and actionable insights.

The ideal candidate combines dashboard development, analytics, product thinking, and stakeholder communication skills to deliver AI-enabled workflows to rapidly prototype, validate, and deliver DCC capabilities. This role requires someone who can move beyond predefined requirements and shape dashboard concepts, identify meaningful metrics, tell compelling stories through data, and brief technical and executive stakeholders directly.

The most qualified candidates for this position will think like a product strategist, build like an analytics engineer, and communicate like a trusted advisor while maintaining the technical and analytical rigor expected of Digital Command Center products.

Key responsibilities may include, but are not limited to:

  • Translate ambiguous stakeholder needs and operational questions into dashboard concepts, product requirements, metrics, and analytical workflows
  • Define KPIs, thresholds, scoring logic, and analytical methods supporting Digital Command Center products
  • Assess data quality, completeness, consistency, timeliness, lineage, and analytical usability
  • Analyze structured and semi-structured data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights
  • Partner with data teams, systems engineers, AI/ML scientists, and mission stakeholders to ensure data is accurate, traceable, and fit for use
  • Define dashboard information architecture, navigation, filters, drilldowns, alerts, and workstream specific views
  • Design, develop, test, and maintain interactive dashboards, analytical applications, executive views, and decision-support products using AI, prompt-driven development, low-code tools, visualization platforms, and conventional coding methods as required
  • Validate AI-generated code, queries, calculations, metrics, visualizations, and narrative outputs
  • Create clear data narratives that explain what happened, why it matters, and what actions stakeholders should consider
  • Lead dashboard demonstrations, product reviews, and analytical briefings for technical, program, and executive audiences
  • Gather user feedback and translate it into prioritized enhancements, backlog items, and product roadmap recommendations
  • Contribute to dashboard standards, reusable templates, visualization components, prompt and memory libraries, metric catalogs, and product documentation
Qualifications

Required Qualifications

  • 8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ years with a PhD in Data Science, Computer Science, Information Systems, Analytics, Statistics, Mathematics, Operations Research, Human-Computer Interaction, Data Visualization, or a related technical discipline
  • Hands-on proficiency with Python, SQL, JavaScript, TypeScript, R, or similar languages
  • Proficiency with one or more dashboard or visualization platforms
  • Experience working with relational data, JSON, CSV, Parquet, APIs, and cloud-hosted datasets
  • Strong understanding of data visualization, information hierarchy, user interaction, and dashboard usability
  • Familiarity with LLMs, prompt engineering, AI-assisted code generation, and human-in-the-loop review
  • Experience developing production-quality dashboards, analytical applications, data visualizations, or decision-support products
  • Experience defining and validating metrics, KPIs, analytical logic, trend analyses, scoring models, or decision-support methods
  • Experience translating operational or stakeholder needs into analytical requirements and measurable outputs
  • Ability to inspect, validate, and troubleshoot AI-generated code, queries, metrics, and analytical outputs
  • Demonstrated ability to communicate findings-through visual storytelling, concise narratives, and decision-oriented recommendations-to senior leaders, customers, product owners, or operational stakeholders
  • Strong analytical judgment, creativity, communication skills, and comfort working with evolving requirements
  • US Citizenship with ability to obtain/maintain an FAA Public Trust

 

Desired Qualifications

  • Experience with Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, Looker, D3.js, React, Vega-lite, Highcharts, ECharts, or ArcGIS
  • Experience with Databricks, Snowflake, Microsoft Fabric, Azure Synapse, data lakes, data warehouses, or lakehouse architectures
  • Familiarity with ETL/ELT, data pipelines, APIs, metadata, lineage, data catalogs, data quality, schemas, or streaming data
  • Experience with agentic AI architectures-including RAG, context engineering, tool-using agents, and structured output validation-and frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex
  • Experience with forecasting, anomaly detection, risk scoring, dependency analysis, schedule analytics, scenario analysis, simulation, optimization, or geospatial analysis
  • Experience with product discovery, design thinking, wireframing, prototyping, usability testing, accessibility, Section 508, and color-blind-safe visualization design
  • Experience supporting FAA, NAS, aviation, air traffic operations, transportation, defense, command centers, infrastructure modernization, or other safety-critical operational environments
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017