AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE As a Data Engineer (FinOps), you will build and scale data solutions that drive cost transparency and performance optimization across cloud environments. Leveraging SQL, Python, and modern orchestration tools, you’ll develop pipelines, datasets, and automation frameworks that enable accurate cost attribution and informed financial decision-making. This role offers strong cross-functional impact, working with Product, Engineering, and Finance to uncover cost-saving opportunities and shape scalable, data-driven FinOps practices. WHAT YOU WILL DO - Design, develop, and implement tooling and datasets for telemetry-driven cost attribution and financial modeling; - Build and maintain scalable data pipelines and automation frameworks for cost transparency and optimization; - Develop systems to identify cost-saving opportunities and support discount modeling and management; - Ensure data accuracy and reliability through validation, auditing, and observability; - Collaborate with Product, Engineering, Finance, and Analytics stakeholders; - Improve scalability, performance, and reliability of ELT and ETL pipelines; - Support and enhance CI/CD processes and infrastructure automation. MUST HAVES - 4+ years of experience in FinOps, Cloud Engineering, or Data Engineering; - Strong experience with SQL and Python; - Experience with workflow orchestration tools such as dbt, Airflow, or Dagster; - Experience designing and maintaining ELT/ETL pipelines; - Strong background in data modeling and schema design; - Experience with AWS services and Snowflake; - Familiarity with CI/CD pipelines and Infrastructure as Code such as Terraform; - Experience building and consuming REST APIs; - Hands-on experience with cloud platforms such as AWS or GCP and observability tools like Datadog; - Strong analytical skills with focus on data auditing and validation; - FinOps certification; - Upper-intermediate English level. NICE TO HAVES - Experience with Scala; - Experience with large-scale datasets and distributed systems; - Understanding of cloud cost optimization strategies; - Experience in data-driven and cross-functional environments. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options.

Job Family: Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust Guidehouse is seeking a Data Engineer to join our Technology AI & Data practice, supporting a diverse portfolio of public sector and health sector clients. This role is ideal for hands-on technical contributors who enjoy building modern data foundations that enable better outcomes, whether that is improving citizen services, strengthening mission operations, advancing public health programs, or modernizing enterprise reporting and decision support. What You Will Do: - Design, build, test, and maintain scalable data pipelines (batch and/or streaming as applicable) with increasing independence. - Integrate data from multiple sources, resolve inconsistencies, and deliver curated datasets for analytics and operational use. - Own data quality for assigned domains by implementing validation checks, reconciliation, and monitoring/alerting patterns. - Build, maintain, and deploy data products for analytics and data science teams on cloud platforms (e.g. AWS, Azure, GCP). - Optimize performance of pipelines and queries (tuning, partitioning patterns, efficient compute usage). - Collaborate cross-functionally with analysts, data scientists, and stakeholders to translate requirements into technical designs and delivery plans. - Produce and maintain technical documentation for data flows, data models, and operational procedures. - Contribute to governance and compliance practices (access controls, lineage awareness, controlled data handling) within your scope. What You Will Need: - Bachelor’s degree from an accredited college/university. - Based on our contractual obligations, candidate must be located within the United States and US Citizen. - Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST". - Advanced SQL and Python skills and experience with relational databases and database design - Experience working with data ingestion tools such as AWS Lambda, AWS Data Migration Service, SFTP - Experience making dashboards and using data visualization tools (Tableau, Power BI) - Experience in integrating data from disparate systems and technologies (IBM Mainframe, Structured, Semi-structured and unstructured sources.) - Proficiency with one or more cloud-based solutions (e.g., AWS, Azure, GCP) What Would Be Nice To Have: - Designing/deploying data solutions on cloud platforms (AWS, GCP, Azure) - Hands-on experience with cloud services and REST API integrations - Proficiency with modern data tools (e.g., Spark/Databricks, Airflow, dbt, Kafka) is a plus. - Experience working with distributed data processing tools such as PySpark, AWS Glue - Databricks and/or Snowflake Data Engineer Associate or Professional certification - Proficiency with workflow management systems (Nextflow, Snakemake, Airflow) - Experience with regulated environments (GxP, 21 CFR Part 11) and data governance The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. 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.

• leads and implements best-in-class data management strategies • authors artifacts defining standards and definitions for storing, processing, and moving data • maps details within these artifacts to business processes, non-functional characteristics, qualitative criteria, and technical enablement • finds trends in datasets and develops workflows and algorithms to highlight strategic raw data • creates data acquisition strategy and develops dataset processes in a robust manner

• Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems • Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs • Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs • Monitor work against production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly • Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations • Mentor other associate and intermediate data engineers as needed