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Temporary Data Extraction Jobs in Maryland (NOW HIRING)

WSSC Water

Data Architect

Laurel, MD

$63.25 - $81.25/hr

... if temporary) Work Schedule Monday - Friday 8:00am - 5:00pm Position Location Laurel Position ... Design ETL (Extract, Transform, Load) processes to ensure smooth, efficient data flow between ...

ShopGrok

$85 - $127/hr

Dive into less structured legacy SQL logic and Alteryx ETL workflows, unpicking complex data ... temporary / part-time work visas; or requiring sponsorship will not be considered for this role ...

Aquent

Senior Data Operations Specialist

Baltimore, MD · On-site +1

$65 - $85/hr

Temporary Salary: $65-85 Hourly Start Date: Aug 10, 2026 We're partnering with an innovative agency ... Advanced proficiency in SQL and Python (including Pandas, API integration, and ETL development)

USM

microstrategy bi developer

Baltimore, MD

USM is recognized as one of the fastest growing IT Temporary Staffing firms in the US and most ... Data warehousing concepts * Excellent SQL programming skills along with good familiarity of ETL ...

USM

System Analyst Tier 3

Baltimore, MD

USM is recognized as one of the fastest growing IT Temporary Staffing firms in the US and most ... Must possess 4 years of systems analysis experience in a data warehouse environment using MS tools ...

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All JobsData Extraction JobsTemporary Data Extraction JobsTemporary Data Extraction Jobs in Maryland

Temporary Data Extraction information

What is a temporary data extraction job?

Temporary Data Extraction jobs involve short-term assignments where individuals are responsible for collecting, retrieving, and organizing data from various sources, such as documents, databases, or websites. These roles are typically project-based and may require the use of specialized software or tools to extract data efficiently and accurately. Temporary data extraction positions are common in industries undergoing digital transformation, data migration, or large-scale information updates. Workers in these roles need strong attention to detail and may work independently or as part of a team. Since these jobs are temporary, assignments can range from a few days to several months, depending on the project's scope.

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

To thrive as a Temporary Data Extraction Specialist, you need strong attention to detail, data entry accuracy, and familiarity with spreadsheets or databases, typically supported by a high school diploma or equivalent. Proficiency with tools such as Microsoft Excel, data extraction software, and sometimes OCR systems is usually required. Analytical thinking, time management, and reliability are crucial soft skills for managing repetitive tasks and meeting deadlines. These competencies ensure accurate data collection, minimize errors, and help maintain workflow efficiency during short-term projects.

What are the typical challenges faced in a temporary data extraction role, and how can they be managed?

Temporary Data Extraction professionals often encounter challenges such as inconsistencies in source data, tight deadlines, and adapting quickly to new tools or procedures. It's important to pay close attention to detail and communicate regularly with team members or supervisors to clarify requirements and resolve ambiguities. Familiarizing yourself with the data extraction software and maintaining organized records can help manage workload efficiently. Additionally, being proactive about asking questions when encountering unclear data can prevent errors and streamline the extraction process.

What is the difference between Temporary Data Extraction vs Data Analyst?

AspectTemporary Data ExtractionData Analyst
Required CredentialsBasic technical skills, often no formal degree requiredBachelor's degree in data-related fields, certifications preferred
Work EnvironmentProject-based, short-term assignments, often remote or on-siteOngoing, full-time or part-time roles within organizations
Industry UsageCommon in data collection, research, and initial data processingUsed for interpreting data, creating reports, and strategic analysis

Temporary Data Extraction involves short-term tasks focused on collecting and extracting data, often requiring basic technical skills. Data Analysts typically hold formal education and perform ongoing analysis to support business decisions. While both roles work with data, their scope, credentials, and work environment differ significantly.

What are the most commonly searched types of Data Extraction jobs in Maryland?

The most popular types of Data Extraction jobs in Maryland are:

What are popular job titles related to Temporary Data Extraction jobs in Maryland?

For Temporary Data Extraction jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Temporary Data Extraction jobs in Maryland look for?

The top searched job categories for Temporary Data Extraction jobs in Maryland are:

What cities in Maryland are hiring for Temporary Data Extraction jobs?

Cities in Maryland with the most Temporary Data Extraction job openings:

Temporary Data Extraction jobs near you

Data Architect

WSSC Water

Laurel, MD

$63.25 - $81.25/hr

Full-time

Re-posted 20 days ago

Job description

Position Information
Functional Title Data Architect Recruitment Category Type Standard Functional Category Information Technology Grade IT.17 FLSA Status Exempt Requisition Number 26-0225 Number of Vacancies 1 Job Level Non-Management Job Code N/A Job Description Summary Organization Name IT Strategy & Architecture Services Reports to Deputy Director, IT Strategy and Architecture Full or Part Time Full Time If Part Time how many hours per week Regular or Temporary Regular Position End Date (if temporary) Work Schedule
Monday - Friday 8:00am - 5:00pm
Position Location Laurel
Position Summary Information
General Summary
This is a non-merit employment-at-will contract position.
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
Other Functions
  • Partner with stakeholders across WSSC Water, including operations, engineering, regulatory compliance, and customer service, to align data architecture with business goals
  • Provide technical leadership and mentorship to a team of data engineers, analysts, and other data professionals
  • Lead the evaluation and selection of third-party tools, platforms, and vendors to support data architecture and integration efforts
  • Continuously monitor the performance of data architecture systems and implement optimizations for speed, reliability, and cost-effectiveness
  • Design systems that are highly available and resilient to ensure continuous operations in the event of system failures or disruptions
  • Scale data infrastructure to accommodate growing volumes of data, supporting increased usage and future technological advancements
  • Stay current with emerging technologies, industry trends, and best practices related to data architecture, cloud computing, big data, and data security
  • Proactively identify opportunities for innovation and process improvements in data systems, ensuring that WSSC Water maintains a competitive edge in the water and wastewater sector
  • Contribute to the long-term strategic vision for data architecture, helping to drive digital transformation across the organization
  • Perform other related duties as required
Work Environment And Physical Demands
Business casual office environment
Required Knowledge, Skills, And Abilities
  • Expertise in designing scalable data systems, including data modeling (conceptual, logical, and physical), data standardization, data lifecycle management, and building data lakes and warehouses to support large-scale integration and analytics
  • Proficiency managing data lakes, performing analytics, and optimizing data warehousing solutions (e.g. Azure Synapse Analytics)
  • Strong experience designing data pipelines, transforming large datasets, and supporting real-time analytics and machine learning or other ETL tools such as Azure Databricks, Azure Data Factory, Apache Nifi etc.
  • Proficiency in SQL, Python, Scala, or Java for managing and processing data across systems, particularly in Azure Databricks
  • Knowledgeable in big data technologies (e.g., Hadoop, Spark) and their integration with cloud platforms for handling large volumes of data securely and efficiently
  • Experience with scalable and secure storage of large datasets (such as Azure Data Lake Storage and Azure Blob Storage)
  • In-depth knowledge of data security practices, including encryption, access control, identity management, and secure data storage
  • Expertise in implementing data privacy and regulatory compliance frameworks, such as GDPR, CCPA, HIPAA, and industry-specific utility standards
  • Experience in managing and securing sensitive data using tools such as Azure Security Center and Azure Key Vault
  • Strong understanding of data governance frameworks, ensuring data quality, integrity, and traceability through tools such as Azure Purview and/or other metadata management tools
  • Knowledge of data lineage and metadata management practices to ensure data accuracy and compliance throughout the data lifecycle and knowledge of data cataloging with tools such as Alation, Collibra, Atlan or any similar product
  • Familiarity with water and wastewater management systems, including SCADA, GIS, IoT sensors, and how these integrate with data architecture
  • Understanding of operational challenges in water distribution, treatment, and wastewater management, and how data systems can optimize these processes
  • Strong analytical skills to troubleshoot complex data systems, identify bottlenecks, and propose data-driven solutions for improved performance and security
  • Ability to design and manage cloud-based data architecture
  • Expertise in integrating disparate data sources (e.g., IoT, SCADA, sensors) into centralized data repositories using modern cloud tools
  • Strong project management skills to oversee the design, development, and deployment of data architecture projects, ensuring deadlines and requirements are met
  • Familiarity with agile methodologies for managing data-related projects and collaborating with cross-functional teams
  • Proven ability to work with different application stakeholders across the organization in designing effective data flows at the onset of large enterprise initiatives
Minimum Education, Experience Requirements
  • 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 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-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-functional teams and lead data-related projects
Additional Requirements
  • Must be available, as required, to work as needed on a 24-hour on-call basis, irregular hours and various shifts
  • Completion of the WSSC Water Financial Disclosure statement within 30 days of employment and annually thereafter
Preferences
  • Active professional level solution/cloud/data architecture certification(s)
  • Project Management certifications or recognized training
Salary $135,814 - $231,251
Posting Detail Information
EEO Statement
WSSC Water is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, national origin, age, disability, genetic information, veteran status, marital status or any other characteristic protected by federal, state, or local law. We make employment decisions based on merit, qualifications, and business needs.
Reasonable Accommodations: WSSC Water provides reasonable accommodations to qualified individuals with disabilities and to individuals with sincerely held religious beliefs, practices, or observances, in accordance with applicable law. Applicants who require assistance or an accommodation during the application or hiring process should contact us atada@wsscwater.com
Close Date 08/26/2026 Open Until Filled No Special Instructions to Applicants Additional Information
All applicants selected will be subject to drug screening and a background check/verification.

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