Developer / Programmer Analyst

Machine Learning Technologies, LLC; Austin (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC in Austin, TX, seeks a senior data integration engineer to design, test, and maintain data pipelines in healthcare environments. You will work with SAS, Python or R, develop dashboards, and automate workflows to improve data interoperability and operational efficiency.

You will gather business requirements, translate them into technical solutions, validate data quality, and collaborate with epidemiologists, program staff, and other stakeholders.

Qualifications

• 8+ years in SAS/Python/R development, testing, and maintenance.
• 8+ years in system integration, dashboards, and automation.
• 8+ years working with healthcare or administrative datasets.
• Strong knowledge of databases and SQL querying.
• 8+ years translating business requirements into technical solutions.
• 8+ years validating data integration workflows.
• 8+ years documenting code, specs, and SOPs.
• Strong analytical and communication skills across stakeholders.
• Experience collaborating with cross-functional teams.

Responsibilities

• Develop, test, maintain, and troubleshoot programs using SAS, Python, or R.
• Build data integrations and dashboards to improve data interoperability.
• Automate data processing workflows to boost efficiency.
• Collaborate with epidemiologists, program staff, and technical stakeholders.
• Document workflows and technical specifications for data pipelines.

Skills

SAS/Python/R

Data integration

Dashboard development

Healthcare data

SQL

ETL processes

Tools

HL7

FHIR

XML

Job description

Job Duties
Required Qualifications:

• 8+ years of experience developing, testing, maintaining, and troubleshooting programs using SAS, Python, R, or similar programming languages.
• 8+ years of experience in system integration, dashboard development, and process automation to improve data interoperability and operational efficiency.
• 8+ years of experience working with structured and semi-structured healthcare, public health, or complex administrative datasets.
• Strong knowledge of databases, data structures, and database querying techniques.
• 8+ years of experience gathering business requirements, conducting system needs assessments, and translating functional requirements into technical solutions.
• 8+ years of experience testing and validating automated data integration workflows to ensure data accuracy, completeness, and reliability.
• 8+ years of experience documenting code, technical specifications, system requirements, workflows, and standard operating procedures.
• Strong analytical, troubleshooting, and problem-solving skills, with the ability to communicate technical concepts effectively to technical and non-technical stakeholders.
• Ability to collaborate with cross-functional teams, including business users, epidemiologists, program staff, and technical stakeholders.

Preferred Qualifications:

• 2+ years of experience with Electronic Case Reporting (eCR/eICR), Electronic Health Records (EHR), or Health Information Exchange (HIE).
• Knowledge of healthcare interoperability standards, including HL7, XML, FHIR, SNOMED CT, or other clinical terminology standards.
• 2+ years of experience with SQL, relational databases, public health surveillance systems, or healthcare registries.
• Experience with data linkage, record matching, automated data pipelines, ETL processes, and healthcare data integration.
• Experience developing dashboards and automating data processing workflows for public health or healthcare applications.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.