• The lakehouse and the streaming ingestion that feeds it. • You’d help set the multi-year technical direction, design the golden paths, and ship the work — directly, with your hands on the code that matters. • You’d report to the Director of Data Engineering and partner with a peer Manager whose scope is people leadership and operational delivery. • You own technical direction, application architecture, and the engineering bar. • You’ll work alongside other senior staff engineers across the broader data platform org.

• Create and maintain optimal data pipeline architecture from multiple data sources. • Assemble large, complex data sets that meet functional / non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. • Ensure robust data validation and verification processes to ensure the correctness of data for reporting. • Develop and maintain data warehousing approaches, including the modelling and pipelining of data for storage and retrieval. • Keeping data separated and secure as per best practice guidelines. • Ensure that the data taken from the information sources is accurate, liaising with other business functions when necessary. • Proactively keep up to date with the latest cloud data technology. • Provide support, documentation and training to other applicable team members as and when required to ensure that overall objectives are met.

Data Engineer - Remote Location: Rochester NY US Job Description: With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software. Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we're passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact. We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs. The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members. Essential Functions: - Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. - Provide operational support and troubleshooting for existing processes and systems. - Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. - Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform. - Ensure data extraction, transformation and loading data meet data security & compliance requirements. - Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards. - Create data tools for data scientist team members that assist them in building and optimizing models. Requirements - BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required. - 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies; 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets. - 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement - 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB. - 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments. - 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions. - 2+ years with Salesforce FSC and Salesforce Data Cloud. Skills & Competencies: - Strong communication and problem-solving skills. - Troubleshooting expertise. - Proficiency in Python, SQL. - Experience with Extract, Transform, Load (ETL) processes. - Experience building data pipelines. - Experience with Apache Spark and Apache Hadoop. - Experience with Amazon Web Services. Benefits - Health insurance - Paid holidays - Flexible time off - 401k retirement savings plan and company match with pre-tax and ROTH options - Dental insurance - Vision insurance - Employer paid disability insurance - Life insurance and AD&D insurance - Employee assistance program - Flexible spending accounts - Health savings account with employer contributions - Accident, critical illness, hospital indemnity, and legal assistance - Adoption assistance - Domestic partner coverage The salary range for this role reflects a wide range of factors including skill set, experience, training, and internal equity. It is not typical for individuals to be hired at the top of the range. The salary range is $90,000 - $140,000. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time.

Role Description The Data Abstractor II (DAll) is responsible for remote abstracting and registry operations and related tasks as assigned. Additionally, the DAll is responsible for following the guidelines published in the registry/project parameters/roadmap document, Quality Management Validation Policy and Procedure, and working within the established productivity guidelines for each assigned project and case type. The DAll is accountable for their committed work hours for each project assignment and in assisting the management team with meeting the goals and deadlines for each assigned project. Qualifications - Minimum 1 year of GWTG Stroke & Comprehensive Stroke registry abstraction and database management experience, required. - Stroke registry experience within IQVIA with additional layers (ICH, DM, EMS Pre-Hospital, Endovascular Therapy), preferred. - Other AHA GWTG Registry experience (HF, CAD, Afib, Resus), preferred. - Proficient in industry-related clinical registry data abstraction specifications manuals, data abstraction software systems (IQVIA), and electronic medical record applications. - Strong attention to detail. - Ability to work independently. - Excellent communication and documentation skills. - Proficient in Microsoft Office and/or Google products. - Exposure to quality improvement concepts and processes, preferred. - RN, RHIA/ RHIT, CPHQ, preferred. Requirements - Follows the project parameter/project roadmap document as the individual job description for each project assignment in conjunction with utilizing all industry-related reference manuals (data abstraction specification manuals/resources), interpreting and applying all rules successfully. - Stays current on abstraction requirements and specifications at all times. - Consults industry-related Q & A resources as needed and consults with Registry Partners Management/Validation teams for abstracting questions/clarifications as needed. - Takes part in other registry operations tasks as assigned (i.e., follow-up activities) by following standard operating procedures. - Meets defined Quality Standards after acclimating to a new project, for each case type assigned. - Meets defined Productivity Standards within four weeks of abstracting on a new project for each case type assigned. - Meets Productivity Standards for registry operations tasks as defined for each project assignment. Other Responsibilities/Accountabilities - Provide timely responses to questions or concerns communicated by the Registry Partners project and validation management teams, executive management team, and corporate office team. - Understands and follows all Registry Partners internal corporate policies and procedures and client-based policies and procedures as requested. - Utilize the Registry Partners secure server and project folders/subfolders as the primary communication exchange for all assigned projects. - All other duties as assigned. Work Environment & Physical Demands - Sitting, standing for extended periods of time, staring at a computer monitor for extended periods of time. - Climbing, walking, lifting 20 lbs. or more, pulling and/or pushing, carrying, grasping, reaching, crawling, stooping, and crouching. - Ability to learn and comprehend basic instructions and orientation to the job, motor coordination skills, coordination of eyes and hands. - Ability to understand words and respond effectively. - Ability to perform basic arithmetic accurately and quickly. - Hot and/or Cold temperatures that result in significant body discomfort due to being away from your geographical area. - Injury exposures due to assembly and/or repair to equipment.