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Data Jobs in Crofton, MD (NOW HIRING)

Koitecc Solutions

Data Architect

Laurel, MD · On-site

$120 - $180/hr

The Data Architect plays a critical role in designing and implementing secure, scalable data architectures that integrate operational and enterprise data from sources such as SCADA systems, IoT ...

Halvik

Data Architect

Washington, DC · On-site

$175K - $185K/yr

The architect will lead the design of data lakes, data warehouses, and visualization services for that data. The architect will work with data/cloud engineers to design data pipelines to ingest ...

Peraton

Data Manager

Bethesda, MD · On-site

The Data Analyst will support enterprise data management, integration, governance, and configuration management activities across the program. This role is responsible for ensuring enterprise data is ...

DarkStar Intelligence LLC

Data Manager

Bethesda, MD · On-site

This role is responsible for ensuring enterprise data is structured, accessible, reliable, and aligned with mission and operational objectives as data volume, complexity, and interoperability ...

AaraTechnologies Inc

DATA ANALYST

Washington, DC · On-site

Data Analyst Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

Cymertek Corporation

Data Modeler

Annapolis Junction, MD · On-site

$56 - $72.50/hr

Cymertek Corporation is seeking a detail-oriented and innovative Data Modeler to join their team. The role involves designing and maintaining efficient data structures, translating complex business ...

Technogen, Inc.

Data Architect

Bethesda, MD · On-site

$68 - $87.50/hr

They are seeking a Data Architect who will focus on data analytics and data strategies, establishing metadata management, data governance, and ensuring data quality across the organization.

USM

Data Analyst

Washington, DC

Data Analyst Location: Washington DC (Locals only) Duration: 6+ Months Note: Need Locals for F2F. Visa: Any visa is fine except OPT. Data Analysis is the art of collecting and analyzing data so that ...

Halvik

Data Architect

Washington, DC · On-site

$175K - $185K/yr

The architect will lead the design of data lakes, data warehouses, and visualization services for that data. The architect will work with data/cloud engineers to design data pipelines to ingest ...

VHB

Data Architect

Washington, DC · On-site

$72.25 - $92.75/hr

Overview ABOUT THE POSITION VHB is seeking a Data Architect to join our growing data team and play a key role in shaping and advancing our enterprise data strategy. In this role, you will lead the ...

Barrow Wise Consulting

Data Architect

MD · On-site

$90K - $130K/yr

The Data Architect will support Barrow Wise's CPS project and perform the following duties: * Enable the management and sharing of infectious disease data between Chicago Public Schools and the ...

Analytica

Data Architect

Washington, DC · On-site

$72 - $92.50/hr

The Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies and advanced data engineering frameworks to ensure scalable and secure solutions.

Bright MLS

Data Modeler

Rockville, MD · On-site

$100K - $125K/yr

Data Modeler Home It's a word that holds a special place at Bright MLS. At its core, it's shelter. But it's also so much more. Family. Community. Safety. A place where you can be your fullest, truest ...

New

AVER

Data Scientist

Washington, DC · On-site

AVER is seeking a Data Scientist with strong experience in advanced analytics, automation, and Artificial Intelligence/Machine Learning (AI/ML) to develop innovative solutions that enhance data ...

US Federal Solutions

Data Analyst

Washington, DC · On-site +1

As a Data Analyst, you will be working to identify internal/external databases to be connected within multiple data warehouse tools. You will work with both the external database administrators and ...

GXM Technologies LLC

Data Analyst

Washington, DC · On-site

$115K - $158K/yr

The Data Analyst will support the collection, validation, analysis, and reporting of program data to help improve operational performance and inform strategic decisions. The ideal candidate has ...

Goldbelt Inc

Data Analyst

Washington, DC · On-site

This Data Analyst position is located within the Bureau of Consular Affairs, Resource Management Unit (RMU). RMU serves as the primary strategic planning and oversight body for bureau-level resource ...

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All JobsData JobsData Jobs in Crofton, MD

Data information

See Crofton, MD salary details

$46.5K

$166.9K

$246.3K

How much do data jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data in Crofton, MD is $166,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,000.00 and $171,900.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

What are the most commonly searched types of Data jobs in Crofton, MD?

The most popular types of Data jobs in Crofton, MD are:

What job categories do people searching Data jobs in Crofton, MD look for?

The top searched job categories for Data jobs in Crofton, MD are:

What cities near Crofton, MD are hiring for Data jobs?

Cities near Crofton, MD with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Crofton, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $166,885 per year, or $80.2 per hour.

Data Architect

Koitecc Solutions

Laurel, MD • On-site

$120 - $180/hr

Other

Posted 14 days ago

Job description

The Data Architect plays a critical role in designing and implementing secure, scalable data architectures that integrate operational and enterprise data from sources such as SCADA systems, IoT devices, sensors, and business platforms. This position is responsible for developing a unified data ecosystem that enables real-time data processing, advanced analytics, and data-driven insights to support optimized operations, predictive maintenance, and informed decision-making.

The role ensures the integrity, security, and governance of data by establishing and enforcing industry-compliant standards, protecting sensitive water system information while promoting accessibility and reliability across the organization. Leveraging modern cloud technologies and data platforms, the Data Architect drives the transformation of data into a strategic asset, enhancing asset management, water quality monitoring, and overall operational performance supporting the delivery of safe, reliable, and high-quality water services.

Essential Functions
  • Lead the design, development, and implementation of scalable and secure data architectures that support WSSC Water’s operational systems and data needs
  • Develop and maintain data models, database schemas, and data warehouses tailored to the water and wastewater industry
  • Design, integrate and optimize real-time data pipelines to support the integration of operational data from various sources (e.g., SCADA, GIS, sensors, IoT devices, field data and enterprise systems)
  • Design ETL (Extract, Transform, Load) processes to ensure smooth, efficient data flow between operational systems and analytics platforms
  • Ensure data consistency, quality, and availability across different platforms, supporting both historical and real-time analytics
  • Develop hybrid cloud architectures to leverage cloud computing platforms (e.g., AWS, Azure, GCP, OCI) while maintaining necessary on-premises solutions
  • Ensure seamless integration between on-premises and cloud data environments for scalability, flexibility, and cost-effectiveness
  • Lead cloud migration initiatives, ensuring that legacy systems are efficiently transitioned to modern cloud-based infrastructure
  • Design robust security practices, including data encryption, access controls, and data masking protocols, to protect sensitive water and wastewater data, ensuring compliance with regulatory requirements
  • Collaborate with IT security teams to establish data governance frameworks, risk mitigation strategies, and incident response plans
  • Establish and enforce data governance policies and practices to ensure data accuracy, consistency, and reliability across all systems
  • Develop frameworks for data lineage, metadata management, and data cataloging to improve data traceability and transparency
  • Lead initiatives to improve data quality by identifying issues and implementing solutions for cleansing, standardization, and validation
  • Design data architecture to support advanced analytics, machine learning, and AI workloads for predictive modeling, asset management, and operational optimization
  • Ensure that data infrastructure supports real-time analytics for enhanced decision-making and monitoring of water quality, usage patterns, and infrastructure performance
  • Work closely with data science teams to provide the necessary data structures and processes to enable data-driven insights
  • Document data architecture designs, processes, and systems to ensure transparency, maintainability, data usage, integration procedures, and security protocols to enable team collaboration and compliance
  • Conduct training and knowledge-sharing sessions for internal teams to improve understanding of data systems and best practices
Qualifications
  • Bachelor’s degree
  • 8+ years experience as a Data Architect or in a similar data‑related role, with a focus on designing and implementing large-scale data systems
  • 3+ years experience working with cloud data management platforms such as Azure Synapse Analytics and Azure Databricks
  • Experience with big data technologies such as Apache Spark, Hadoop, or equivalent, and cloud data storage solutions (e.g., Azure Data Lake Storage)
  • Proficiency in SQL, Python, or Scala for data processing and transformation
  • Knowledge of data modeling and data warehousing concepts for designing scalable data architectures
  • Knowledge of data governance principles, such as metadata management, data lineage, data cataloging, and data quality standard
  • Strong analytical and troubleshooting skills, with the ability to optimize data systems and resolve technical challenges related to performance, security, and scalability
  • Ability to communicate complex technical concepts to non‑technical stakeholders
  • Strong collaboration skills to work with cross‑functional teams and lead data‑related projects
OR
  • High school diploma or equivalent
  • 12+ years experience as a Data Architect or in a similar data‑related role, with a focus on designing and implementing large‑scale data systems
  • 3+ years experience working with cloud data management platforms such as Azure Synapse Analytics and Azure Databricks
  • Experience with big data technologies such as Apache Spark, Hadoop, or equivalent, and cloud data storage solutions (e.g., Azure Data Lake Storage)
  • Proficiency in SQL, Python, or Scala for data processing and transformation
  • Knowledge of data modeling and data warehousing concepts for designing scalable data architectures
  • Knowledge of data governance principles, such as metadata management, data lineage, data cataloging, and data quality standards
  • Strong analytical and troubleshooting skills, with the ability to optimize data systems and resolve technical challenges related to performance, security, and scalability
  • Ability to communicate complex technical concepts to non‑technical stakeholders
  • Strong collaboration skills to work with cross‑sectional teams and lead data‑related projects
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