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Entry Level Azure Data Factory Jobs in Washington, DC

Databricks, Snowflake, Azure Data Factory, Microsoft SQL Server tools (SSIS, SSMS, SSAS, SSRS), Azure Synapse Analytics * Proficiency in querying data using SQL and experience optimizing SQL query ...

Databricks, Snowflake, Azure Data Factory, Microsoft SQL Server tools (SSIS, SSMS, SSAS, SSRS), Azure Synapse Analytics * Proficiency in querying data using SQL and experience optimizing SQL query ...

Databricks, Snowflake, Azure Data Factory, Microsoft SQL Server tools (SSIS, SSMS, SSAS, SSRS), Azure Synapse Analytics * Proficiency in querying data using SQL and experience optimizing SQL query ...

... Azure Data Factory to enhance data engineering capabilities - Applying data architecture ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

... our Azure and AWS environments (Snowflake, Databricks, Data Factory, Glue, Lambda, SQL Server). · Review existing data pipelines, data models, and transformation script to understand current ...

EV Data Analysis Lead

Columbia, MD · On-site

$107K - $161K/yr

Leverage technologies such as Azure Data Factory and dbt for automated workflows * Design and maintain SQL databases optimized for analytical use cases * Build and maintain scalable data ...

EV Data Analysis Lead

Columbia, MD · On-site

$107K - $161K/yr

Leverage technologies such as Azure Data Factory and dbt for automated workflows * Design and maintain SQL databases optimized for analytical use cases * Build and maintain scalable data ...

Leverage technologies such as Azure Data Factory and dbt for automated workflows * Design and maintain SQL databases optimized for analytical use cases * Build and maintain scalable data ...

Designs, builds, and maintains ETL (Extract, Transform, Load) pipelines using orchestration tools (e.g., Apache Airflow, Azure Data Factory, FME Form) and big data frameworks (e.g., Spark, Hadoop) to ...

Data Analyst III

Fairfax, VA · On-site +1

$88K - $155K/yr

Designs, builds, and maintains ETL (Extract, Transform, Load) pipelines using orchestration tools (e.g., Apache Airflow, Azure Data Factory, FME Form) and big data frameworks (e.g., Spark, Hadoop) to ...

Data Analyst III

Fairfax, VA · On-site

$88K - $155K/yr

Designs, builds, and maintains ETL (Extract, Transform, Load) pipelines using orchestration tools (e.g., Apache Airflow, Azure Data Factory, FME Form) and big data frameworks (e.g., Spark, Hadoop) to ...

Microsoft Azure Engineer

Ashburn, VA · Remote

$57 - $76.25/hr

Exposure to data platforms in Azure (SQL Database, Cosmos DB, Data Factory) and analytics solutions * Understanding of cloud security frameworks, compliance requirements, and risk management

Microsoft Azure Engineer

Ashburn, VA · Remote

$85K - $115K/yr

Exposure to data platforms in Azure (SQL Database, Cosmos DB, Data Factory) and analytics solutions * Understanding of cloud security frameworks, compliance requirements, and risk management

Microsoft Azure Engineer

Ashburn, VA · On-site

$85K - $115K/yr

Exposure to data platforms in Azure (SQL Database, Cosmos DB, Data Factory) and analytics solutions * Understanding of cloud security frameworks, compliance requirements, and risk management

Synapse Analytics, Azure Data Bricks, AI Foundry, AI Search, Data Factory) * Experience with the following Data Tools * Palantir, Qlik, Tableau, Databricks, Oracle products, Adobe Creative Suite

ETL Developer

Chantilly, VA · On-site

$52.25 - $68.25/hr

Experience with cloud data platforms ( AWS Glue/S3, Azure Data Factory/Synapse, Snowflake, Databricks ) * Experience with Apache Spark or similar distributed processing frameworks * Experience with ...

Showing results 41-60

Entry Level Azure Data Factory information

See Washington, DC salary details

$12

$66

$90

How much do entry level azure data factory jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for entry level azure data factory in Washington, DC is $66.15, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $74.33 per hour, depending on experience, location, and employer.
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Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 13 days ago


Guidehouse rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

42nd of 72 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust
What You Will Do:
Guidehouse is seeking a Data Scientist to join our AI & Data Defense and Security Segment, where the individual will collect and analyze data to identify trends, develop visualizations in support of organizational and mission goals, and support decision-making for large-scale programs within the Department of Homeland Security (DHS). Responsibilities include, but are not limited to:
  • Design and develop data visualization and dashboard solutions to provide required analytics insights (Power BI)

  • Collecting, cleaning, and analyzing data using a variety of methods and tools, such as R

  • Identifying and creating additional data visualization capabilities, as needed

  • Ensuring data governance and quality assurance standards are met

  • Conducting data validation and remediation using tools such as R and Excel

  • Analyzing current process and identifying potential improvements

  • Working with team members to summarize and report on business process improvements to include gaps in current processes and initiatives to improve processes for an organization

  • Organizing and leading client meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following-up on action items

  • Summarizing and presenting information and reports to the team and make recommendations (both oral and written)

What You Will Need:

  • Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred

  • Bachelors Degree

  • At least THREE (3) years of experience in consulting, data analytics, or project management


What Would Be Nice To Have:

  • Active DHS Public Trust

  • Law Enforcement experience

  • Data visualization tools such as Power BI

  • Good critical thinking skills, writing skills, and communication skills

  • Experience in business analysis

  • Experience connecting visualization to various types of data sources

  • Experience developing training materials

  • Experience with process improvement

  • Database optimization

  • Monitoring program operations to ensure compliance with federal regulations

  • Knowledge of ETL/ELT processes and tools for data integration, such as: Databricks, Snowflake, Azure Data Factory, Microsoft SQL Server tools (SSIS, SSMS, SSAS, SSRS), Azure Synapse Analytics

  • Proficiency in querying data using SQL and experience optimizing SQL query performance for large datasets


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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