This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a highly technical, detail-oriented Data Engineer to serve as the technical engine and quality-control specialist for our data operations. Reporting directly to the Director of Data (who also serves as the Lead Architect), you will execute the end-to-end development of our ETL/ELT pipelines under their strategic direction. - Execute the full data lifecycle—Extract, Transform, Load—utilizing industry-standard tools like Fivetran to automate ingestion. - Help manage and scale complex data workflows using tools like Apache Airflow, ensuring task dependencies are met and pipelines run with 100% reliability. - Perform rigorous data cleansing and transformation within the SQL layer to turn raw, messy data into "Gold-standard" KPI-ready logic. - Function as the primary monitor for the data environment. Execute automated monitoring protocols to identify schema drift or data anomalies before they reach a stakeholder. - Assist the Director of Data in the maintenance and optimization of cloud data warehouses, specifically BigQuery, ensuring performance and cost-efficiency. - Partner with Marketing and Content teams to normalize data from complex stacks, including GA4, PostHog, Facebook Ads, Reddit, and others, and custom website tracking. Qualifications - SQL Mastery: You are a "black belt" in SQL. You write complex joins, window functions, and CTEs that are both performant and easily maintainable. - Pipeline Expertise: Proven experience building and managing data pipelines at scale using Fivetran or similar automated ingestion tools. - Orchestration Power User: Experience with Apache Airflow (or similar tools like Prefect/Dagster) for managing complex pipeline dependencies and scheduling. - Warehouse & Lake Experience: Strong technical proficiency in BigQuery and Redshift, including an understanding of partitioning, clustering, and cost-optimization. - The "Data Instinct": You have a natural "whiz" for spotting when data is incorrect. You see the anomalies that indicate a tracking break, a sync error, or an API failure instantly. Requirements - Modern Marketing Stack Knowledge: A deep understanding of the nuances of GA4 and /or PostHog, web tracking schemas, and media pixel implementation. - Content Management Data: Experience sourcing and modeling data from Content Management Systems (CMS) to track content performance and attribution. - Marketing Analytics: Familiarity with how Marketing teams utilize data for campaign optimization and customer journey mapping. Company Description We are a faith-based nonprofit organization devoted to helping people grow through meaningful service, community, and care. Our team combines professional excellence with a shared mission to make a lasting impact.

About the Company Vantage Group Holdings Ltd. (Vantage) was established in late 2020 as a re/insurance partner designed for the future. Driven by relentless curiosity, our team of trusted experts provides a fresh perspective on our clients’ risks. We add creativity to tech-enabled efficiency and robust analytics to address risks others avoid. Vantage provides specialty re/insurance through its operating subsidiaries in Bermuda and the U.S. Vantage has approximately 365 colleagues in both the United States and Bermuda. We have offices in Chicago, IL, Norwalk, CT, Arlington, VA, Boston, MA, New York, NY, Atlanta, GA and Hamilton, Bermuda. Additionally, we are a highly geographically diverse workforce with colleagues based in 35 states and counting. We fully support work flexibility including remote and hybrid work arrangements. About the role: We are seeking talented and intellectually curious data engineers with a passion for the “R” in R&D. You will be part of the Data, Analytics & Technology team reporting to the Data Engineering Lead. The base salary expectation for this role is between $120,000 and $160,000. Actual base salary for the selected candidate may be higher commensurate with candidate experience and expectations. Additionally, Vantage offers its colleagues performance-based bonus potential, strong health & welfare benefits, retirement plans with company match, competitive time off plans, a highly flexible work environment, and much more. Responsibilities & Accountabilities: - Research and evaluate data sources to solve business problems and recommend optimal integration approaches. - Design and implement data pipelines supporting analytics and data science initiatives, including end-to-end ETL/ELT workflows. - Build robust, maintainable, and reusable data infrastructure following medallion architecture patterns (bronze/silver/gold layers). - Architect solutions for complex data challenges, including CDC pipelines, dimensional modeling, and master data management integration. - Collaborate with cross-functional stakeholders to identify, build, test, deploy, and monitor data assets and analytics solutions. Ideal Candidate Profile: - Bachelor’s Degree in Computer Science or related technical field or equivalent professional experience. - 5+ years building production data pipelines using enterprise data integration tools. - Expert-level SQL and relational database design (optimization, indexing, schema design). - Hands-on experience with Medallion architecture and lakehouse platforms (Snowflake, Databricks, etc.). - Advanced proficiency in dbt (macros, materialization strategies, incremental models). - Mastery of Python for data engineering tasks. - Experience with version control (Git), CI/CD workflows, and infrastructure-as-code. - Proven ability to work with structured, semi-structured, and unstructured data. - Strong code review and repository management skills. - Experience in high-functioning Agile environments. - Growth mindset with ability to rapidly adopt new tools and domain knowledge. Preferred Qualifications: - Experience with Debezium or similar CDC tools. - Familiarity with Azure Event Hubs, Kafka, or streaming message brokers. - Experience with Snowflake Iceberg Catalog integration. - Property, geospatial, or image data processing experience. - Financial services or insurance domain knowledge. Our Vantage Values Do What’s Right – be a force for good, for our customers, shareholders, colleagues, industry and communities. Be Relentlessly Curious – ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined. We’re Better Together – collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally. Be Transparent – in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself. Make A Difference – focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission. We value diversity and are committed to creating an inclusive environment for all employees. At Vantage, we strive to build and foster a culture where inclusiveness is ingrained, not just an initiative. All colleagues support building an inclusive environment where employees feel empowered to share their experiences and ideas to foster an environment which encourages you to "Be You!" We are proud to be an equal opportunity employer. In connection with our business, Vantage may collect and process your personal data. For further information regarding how we use this data, please see our online privacy notice at Vantage Recruiting Privacy Notice. ADA Notice: All applications shall be submitted online through our applicant tracking system. Candidates needing reasonable disability accommodation to enable them to apply and/or fully participate in the selection process are encouraged to email recruiting@vantagerisk.com with the subject Candidate ADA Request detailing their needs. Please note the above email box is for candidates needing reasonable disability accommodation only, emails submitting resumes will not be considered and those seeking application status updates will go unanswered.

• Design, develop, and maintain performant and scalable data pipelines to ingest, transform, and load data from various source systems into the Celonis platform. • Create, integrate, maintain, and optimize the SQL Server DataWarehouse pipelines. • Utilize Celonis Data Integration to build and optimize complex data models, ensuring data accuracy and consistency. • Collaborate with business analysts and process owners to translate business requirements into technical data specifications for process mining analyses. • Write and optimize SQL queries and Celonis's Process Query Language (PQL) to support the development of Celonis analyses and dashboards. • Develop Python scripts to perform data cleansing, complex transformations, and automation tasks within the data pipeline. • Implement and monitor audit processes to ensure data integrity between source systems, SQL Server, and the Celonis platform. • Provide ongoing technical support for the Celonis platform and assist end-users with data-related technical issues. • Adhere to best practices for data governance, access rights management, and platform security.

Telecommunting: Remote Travel Requirement: Less than 10% Clearance Level Must Be Able to Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: BI Full 6C (T4) Job Description Own the opportunity as a Senior Cloud Data Engineer and help ensure the mission is never interrupted. At GDIT, we deliver clarity with our cloud solutions and provide meaningful work. Your work will be an important part of transforming our clients for the modern age and help them face any obstacle. At GDIT, people are our differentiator. As a Senior Cloud Data Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Senior Cloud Data Engineer joining our dynamic team to work in a fast-paced environment with engineering, migration, and operations. We’re looking for a self-starter, to work both as part of the team and on individual assignments, in an environment of customer mission delivery, integrity, and communications. We’re looking to fill this role with someone who currently has the cloud experience, certifications, and skills to execute in large environments, is flexible and enjoys tackling challenges, and desires to join a large team that is building and sustaining a large, multi-tenant cloud platform/enterprise and migrating/expanding/automating the enterprise. If this sounds like you and you'd love to learn and grow with a team while delivering program milestones, then we’d love to hear from you! HOW A SENIOR CLOUD DATA ENGINEER WILL MAKE AN IMPACT: - Designs, architects, deploys and maintains cloud data solutions - Works hands-on with Snowflake implementing logical and physical data models - Maintains the integrity and security of systems - Maintains all documentation - Supports and develops automation - Has exposure to Bash, PowerShell, Python - Maintains/enhances knowledge of related AWS cloud services - Work across teams, and external customer groups to develop strategy, design solutions, and advise implementation teams during infrastructure buildouts - Deal with escalations. Make assessments, recommendations or provide solutions to resolve issues - Compose and maintain standard operating procedures and work instructions, knowledge articles, etc. WHAT YOU’LL NEED TO SUCCEED: Required Education: Technical Training, Certification(s) or Degree Required Experience: - Experience with Cloud Computing - AWS - 5+ years experience required Required Technical Skills: - Hands-on experience with Snowflake - Ability to implement logical and physical data models in Snowflake - Experience developing in cloud-based data platforms - Proficiency with ETL/ELT frameworks - Linux / Windows Server Required Skills and Abilities: Excellent communication skills with demonstrated experience delivering presentations to diverse audiences at various levels of an organization Preferred Skills and Experience: - 7+ years experience strongly preferred, with 3+ years of experience at the Senior level - Demonstrable experience leveraging AI/ML as a force multiplier and/or have implemented AI/ML solutions will be strongly preferred - Strong proficiency with SQL and data transformation techniques - Familiarity with Agile / Scrum delivery environments Preferred Certification: Snowflake SnowPro Core Security Clearance Level: None Location: Remote ​GDIT IS YOUR PLACE: - 401K with company match - Comprehensive health and wellness packages - Internal mobility team dedicated to helping you own your career - Professional growth opportunities including paid education and certifications - Cutting-edge technology you can learn from - Rest and recharge with paid vacation and holidays Salary Information The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Information Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. About Our Work We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at https://gdit.com/tc Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans