Data Engineer

Client Office: Pittsburgh, PA, United States

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Guidehouse

Guidehouse is the only scaled advisory organization in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.

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Job Family:

Software Development & Support (Digital)


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:

The Data Engineer will work closely with clients, solutions architects and technical/functional leads across Guidehouse digital teams and market segments to support client projects and provide solutions for growth efforts and capabilities build out.

  • Function as a key data team member to develop data pipelines, transformation rules embedding compliance rules and controls to ensure data quality and regulatory compliance.

  • Extract data from vendor systems, transform into canonical models and upload to tools like Snowflake, ensuring data integrity and consistency across enterprise data platforms.

  • Work collaboratively with data scientists, analytics engineers, business analysts, solution architects, and compliance teams to design, build, test, and deploy data products and pipelines that satisfy functional and regulatory requirements.

  • Analyze data dependencies and structures to optimize data flow and ensure efficient data processing across complex enterprise systems.

  • Support data integration initiatives including API-based data ingestion, real-time data processing, and batch data transformation workflows.


What You Will Need:

  • US Citizen, Green Card, Green Card – EAD 

  • Bachelor's degree. Additional Four(4) years of experience will be needed in lieu of the degree

  • 5+ years of experience in data tools, pipelines, and data transformation techniques

  • Strong proficiency in programming languages like SQL and Python with demonstrated expertise in data manipulation and analysis

  • Experience with ETL/ELT tools and processes (Snowflake preferred) for large-scale data processing and transformation

  • Proven ability to work collaboratively with diverse teams and contribute to complex data engineering projects

  • Understanding financial data, regulations, and compliance requirements with ability to embed compliance controls in data processes

Technical Requirements:

  • Core Programming Skills: Strong SQL knowledge and Python proficiency for data processing and automation

  • Database Technologies: Experience with DB2 and Snowflake for data storage, retrieval, and management

  • Data Integration: Experience with data integration techniques and APIs for connecting disparate data sources

  • ETL/ELT Processing: Hands-on experience with data extraction, transformation, and loading processes

  • Data Modeling: Understanding of data modeling, schema design, and database management principles

  • Cloud Platforms: Knowledge of cloud platforms and Big Data technologies for scalable data solutions

  • Data Analysis: Ability to analyze data dependencies and structures to optimize data architecture

  • Understanding of data modeling, schema design, and database management with focus on creating efficient and scalable data structures.

  • Knowledge of cloud platforms and Big Data technologies to support modern data engineering solutions.


What Would Be Nice To Have:

  • Certifications: - Snowflake Certified Data Engineer or AWS Certified Data Analytics – Specialty.

  • Additional Technologies:

    • Experience with data orchestration tools (Airflow, Prefect, Dagster)

    • Knowledge of streaming data technologies (Kafka, Kinesis)

    • Familiarity with data quality and data governance tools

    • Experience with version control systems (Git) and CI/CD pipelines

    • Understanding of data lineage and metadata management

  • Experience in the Financial Services industry.


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

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow APIs Architecture AWS Banking Big Data CI/CD Dagster Data analysis Data Analytics Data governance Data pipelines Data quality DB2 ELT Engineering ETL Git Kafka Kinesis Pipelines Python Snowflake SQL Streaming

Perks/benefits: Career development Competitive pay Flexible spending account Health care Insurance Medical leave Parental leave Salary bonus Team events

Region: North America
Country: United States

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