Role Description We're looking for a Data Engineer to join our team, building and maintaining the data infrastructure that powers a cloud-based case management system for a major federal financial regulatory agency. - Build and maintain data marts, materialized views, and data pipelines within an AWS Aurora PostgreSQL environment. - Support data integration between the core system and downstream platforms including MicroStrategy and enterprise reporting tools. - Design and optimize data workflows that support analytics, reporting, and operational decision-making. - Monitor data pipeline health and troubleshoot performance and data quality issues. - Collaborate with engineering and product teams to support new data-driven features. - Support compliance with federal data security requirements including FISMA and NIST 800-53. Qualifications - Strong proficiency in SQL and experience working with PostgreSQL or similar relational databases. - Experience building and maintaining data marts, materialized views, or ETL/ELT pipelines. - Familiarity with AWS data services and cloud-based data infrastructure. - Experience integrating with enterprise reporting or BI tools such as MicroStrategy is a plus. - Understanding of data security and governance in federal or regulated environments is a plus. - Thrives in a remote, collaborative Agile environment and genuinely enjoys working closely with a cross-functional team. - Communicates clearly and openly, whether documenting data flows or collaborating with engineers on integration design. - Performs other related duties as assigned. Requirements - Applicants must be authorized to work in the United States. - In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance. - Education: Bachelor's Degree. Benefits - Fully remote. - Tech & Education Stipend. - Comprehensive Benefits Package. - Company Match 401(k) plan. - Flexible PTO, Paid Holidays. Company Description Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hello@Oddball.io. At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements, a range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level. United States Wage Range: $100,000 - $140,000.

Role Description The ACR seeks a Team Lead to provide Data Management leadership to the ACR study initiatives across the College. - Provides vision, leadership, and mentoring to a team of Data Management professionals; - Oversees and leads review of protocols and coordinates study start-up and active study management activities for trials; - Identifies and develops case report forms, program edit checks, and web logic specifications; - Drives innovation by integrating AI/ML capabilities into standard quality control processes; - Manages research protocols to include performing case-level reviews, queries, quality control review checks, and database lock activities. Qualifications - 8+ years of related experience preferred; - Bachelor’s degree in Life Science or BS degree or professional nursing degree/other healthcare certification required; - Supervisory experience preferred; - Experience developing EDC systems for clinical trials a plus; - Experience in a multi-modality clinical trials group or research team a plus; - Certified Medidata Rave® Study Builder, C#, and SAS programming experience a plus. Benefits - Competitive compensation and equitable pay; - Defined contribution pension plan; - 403(b) plan; - Generous paid time off package; - Insurance plans with leading providers; - Flexible spending; - Tuition reimbursement; - Training opportunities; - Wellness reimbursement. Company Description The American College of Radiology is a professional association serving over 40,000 members nationwide. The ACR’s Center for Research and Innovation (CRI) has been a world leader in radiology clinical research for over 50 years, conducting clinical research trials and other projects that have transformed the practice of radiology.

Role Description - Experience: 8–10 years in Data Engineering and Data Analysis. - Informatica Expertise: Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization. - PySpark Development: Advanced skills in PySpark for large-scale data processing, transformation, and analytics. - Hadoop Ecosystem: Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce). - Programming Skills: Proficiency in Python and Kafka for streaming and batch data pipelines. - Database & Modeling: Strong understanding of database concepts, data design, data modeling, and ETL workflows. - ETL Lifecycle: Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading. - Agile Delivery: Hands-on experience with Agile methodology and Jira for project delivery. - Client Interaction: Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC. Qualifications - Master’s or Bachelor’s degree in Computer Science or related field. - Strong problem-solving skills and ability to work in cross-functional teams. Requirements - Preferred Skills: - Exposure to AWS data components and analytics. - Familiarity with machine learning models and AI concepts. - Experience with data modeling tools such as Erwin.

• Develop, optimize, and maintain reliable data pipelines and processing components using Google Cloud Platform (GCS, BigQuery, Looker) • Integrate and manage data from various sources, including marketing platforms and ad networks • Design and maintain scalable data models and datasets that support analytics and business decision-making • Translate business requirements into efficient, scalable data solutions • Improve data accessibility, reliability, and performance across the data ecosystem • Build tools and frameworks that enable faster, more effective analysis and self-service reporting • Ensure data quality, consistency, and governance throughout the data lifecycle • Optimize data infrastructure and processing costs while maintaining scalability and performance