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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Grady Health System - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $113,000.0 - $193,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Apache HTTP Server, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Databases, Information Engineering, Data Systems, Software Debugging, Distributed Data Store, Apache Hadoop, Python (Programming Language), Machine Learning, NoSQL, Oracle (Applications), Software Architecture, SQL Databases, Teradata SQL, Google Cloud, Snowflake, Apache Spark, Build Management, Data Lakes, Pyspark, Information Technology, Epic Clarity, Data Pipelines, Jenkins, Databricks - **Published:** October 17, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/data-engineer/11727611 ## About the Role * Bachelor's degree in Computer Science, Information Systems, Mathematics, or related field, or equivalent experience * 6+ years of experience in data engineering, integration, and optimization * Hands-on experience with big data platforms (e.g., Snowflake) * Proficiency in SQL and Python * Experience with cloud platforms (AWS, Azure, GCP) and modern data tools (Databricks, Snowflake) * Familiarity with database technologies (SQL, NoSQL, Oracle, Hadoop, Teradata) * Strong problem-solving and debugging skills * Excellent communication and business acumen Preferred Qualifications: * Experience with data orchestrating and automation tools like Airflow or Jenkins following CI/CD pipelines * Certification in EPIC Caboodle or EPIC Clarity While this position is remote, we're only able to hire candidates who reside in Georgia, Texas, Tennessee, North Carolina, Florida, South Carolina, Michigan, or Colorado. Core Competencies These competencies reflect the values and behaviors expected of all Grady team members, regardless of role. They ensure that every employee contributes to safe, high-quality care, positive patient experience, and a collaborative work environment. 1. Patient-Centered Care - Demonstrates a commitment to delivering safe, compassionate, and high-quality care that prioritizes the well-being and satisfaction of patients and their families. 2. Integrity & Accountability - Acts ethically, maintains confidentiality, and accepts responsibility for actions, decisions, and outcomes. 3. Collaboration & Teamwork - Builds positive relationships, works effectively across departments, and supports colleagues to achieve shared goals. 4. Communication - Communicates clearly, respectfully, and effectively with patients, families, colleagues, and leadership. 5. Respect & Inclusion - Creates an inclusive environment by valuing diversity, treating others with dignity, and ensuring equitable care and opportunities for all. 6. Quality & Safety - Adheres to best practices, regulatory standards, and policies to ensure safe, reliable, and high-quality outcomes. 7. Adaptability & Resilience - Responds effectively to change, remains flexible in dynamic situations, and demonstrates resilience under pressure. 8. Continuous Improvement - Seeks opportunities to improve processes, skills, and outcomes through innovation, learning, and feedback. 9. Leadership & Professionalism - Inspires, guides, and develops individuals and teams while modeling professionalism, fairness, and transparency. 10. Employee Experience Focus - Champions a supportive and engaging employee journey that enables staff to thrive and, in turn, deliver exceptional patient care. ## Description As a Data Engineer at Grady, you'll be a key player in building and optimizing our data infrastructure. You'll design scalable pipelines, integrate diverse data sources, and deliver actionable insights that empower clinical and operational teams across the enterprise., * Design and develop scalable ETL pipelines to support enterprise data needs * Integrate data from clinical systems, APIs, warehouses, and external sources * Build and maintain BI solutions to monitor performance and drive strategic decisions * Ensure data integrity, consistency, and quality through validation and cleansing * Optimize workflows for performance and scalability * Collaborate across departments to support data-driven initiatives * Troubleshoot and resolve data/reporting issues with precision and urgency, Lead the architecture, design, and implementation of scalable data pipelines and enterprise data assets supporting healthcare rebate and Medicaid systems. Ensure data quality, governance, security, and CMS compliance while troubleshooting complex integration and performance issues. Collaborate with engineering, analytics, business, and leadership teams to translate requirements into technical solutions. Use cloud, big data, and approved AI technologies to improve productivity, mentor teams, and support evolving healthcare and financial applications. Top Skills: Apache KafkaSparkAWSAzureDatabricksDelta LakeFhirHl7Ibm I Db2JavaPythonScalaSnowflakeSQL Capital One Data Engineer 9 Days Ago Remote or Hybrid 209K-262K Annually Senior level 209K-262K Annually Senior level Fintech * Machine Learning * Payments * Software * Financial Services Design, build, and operate scalable cloud data pipelines, platforms, and applications using distributed data technologies. Lead architectural decisions, evaluate platforms such as Snowflake and Databricks, establish engineering patterns, and deliver resilient data solutions. Collaborate with product managers, software engineers, analysts, and data scientists while mentoring engineers and communicating technical outcomes to stakeholders. Drive large-scale data initiatives independently in an Agile environment. Top Skills: AgileAirflowAWSCassandraDagsterDatabricksDynamoDBEmrGlueGCPJavaAzureMongoDBMonte CarloNoSQLPythonRedshiftScalaSnowflakeSparkSplunkSQL Samsara