Software Developer

Guidehouse; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Employee Assistance Program

Job summary

Guidehouse is seeking a senior Data Engineer to design, develop, and maintain data ingestion, transformation, and curation pipelines using Informatica, AWS, and Databricks lakehouse environments to deliver analytics-ready datasets.

You will extend legacy ETL, build Java-based services and APIs for governed data access, implement data quality, metadata, and audit controls, and work in Agile teams with CI/CD pipelines to ensure secure and scalable production systems.

Qualifications

• Six or more years of data engineering or ETL development experience.
• Experience building ingestion, transformation, and curation pipelines.
• Experience with Java-based data services and APIs.
• Familiarity with AWS data services and lakehouse architectures.

Responsibilities

• Design, develop, and maintain data pipelines using Informatica and related ETL tools.
• Extend legacy ETL pipelines into AWS and Databricks lakehouse environments.
• Build Java-based data services and APIs for governed data access.

Skills

ETL development

Data engineering

Agile delivery

CI/CD

Java

Education

Bachelor’s degree

Tools

Informatica

AWS

Databricks

S3

Kinesis

Kafka

Job description

Job Family:Systems EngineeringTravel Required:Up to 10%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Design, develop, and maintain data ingestion, transformation, and curation pipelines using Informatica and related ETL tools, enabling consistent delivery of high-quality, analytics-ready datasets across the Data Platform.Extend and integrate legacy ETL pipelines into AWS and Databricks lakehouse environments, supporting batch and near real-time ingestion patterns and improving enterprise data availability and reuse.Build and support Java-based data services, APIs, and integration layers that enable secure, governed access to curated data for analytics, reporting, and downstream consumption.Contribute to intake and onboarding activities by supporting requirements analysis, source profiling, and implementation of standardized data integration patterns aligned to defined intake processes and SLAs.Develop production-ready data pipelines and services that meet defined technical, security, and documentation requirements, supporting controlled promotion into production through established SDLC and CI/CD processes.Implement data quality validation, transformation logic, and performance optimization to improve pipeline reliability, scalability, and operational efficiency.Integrate data pipelines and services with AWS components (e.g., S3, messaging/streaming services) and Databricks environments to support secure, scalable data movement and platform interoperability.Support governed data engineering practices by implementing metadata capture, lineage tracking, access control patterns, and audit logging to meet compliance, traceability, and security requirements.What You Will Need:Bachelor’s degree is requiredSIX (6) or more years of experience in data engineering or ETL development using Informatica or similar enterprise data integration platforms.Experience building and maintaining data pipelines supporting ingestion, transformation, and curation of structured and semi-structured datasets.Experience developing Java-based data services, APIs, or integration layers supporting enterprise data access and interoperability.Working experience with AWS data platform components (e.g., S3, IAM, networking) and familiarity with lakehouse architecture such as Databricks.Experience implementing production-ready solutions with embedded data quality validation, monitoring, logging, and error handling patterns.Experience working within Agile and CI/CD-enabled delivery environments supporting secure and repeatable deployments.What Would Be Nice To Have:Experience modernizing legacy ETL pipelines into cloud-native or lakehouse-based architectures.Familiarity with data governance concepts, including metadata management, lineage, and access controls within regulated environments.Familiarity with Databricks capabilities (Delta Lake, Unity Catalog) and downstream analytics enablement patterns.Experience with event-driven or streaming integration patterns (e.g., Kafka, Kinesis, EventBridge).Exposure to enterprise metadata/catalog tools (e.g., Informatica EDC, Axon) supporting governed data platforms.Experience supporting federal data platforms or operating in highly regulated environments with strict security and audit requirements.Knowledge of secure data access patterns, including RBAC/ABAC, encryption, and audit reporting aligned to FISMA and FedRAMP requirements.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 InsurancePersonal and Family Sick Time & Company Paid HolidaysParental Leave401(k) Retirement PlanGroup Term Life and Travel AssistanceVoluntary Life and AD&D InsuranceHealth Savings Account, Health Care & Dependent Care Flexible Spending AccountsTransit and Parking Commuter BenefitsShort-Term & Long-Term DisabilityTuition Reimbursement, Personal Development, Certifications & Learning OpportunitiesEmployee Referral ProgramCorporate Sponsored Events & Community OutreachCare.com annual membershipEmployee Assistance ProgramSupplemental 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 bonusAbout GuidehouseGuidehouse 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 [e-mail]. 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 [e-mail]. 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 [e-mail]. 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.