Job Overview
Location
Missouri, USA
Job Type
Full-time
Category
Software Engineering
Date Posted
February 28, 2026
Full Job Description
📋 Description
- • As a Data Engineer at Allata, LLC, you will be instrumental in shaping and executing our data strategy, particularly within the dynamic and critical healthcare sector. Your role will involve the end-to-end lifecycle of data solutions, from initial design and architecture to robust implementation, ongoing optimization, and maintenance. You will be a key player in transforming raw data into actionable insights that drive critical business decisions and enhance patient care.
- • You will be responsible for designing, developing, and deploying scalable and efficient data pipelines using Python and leveraging the Databricks platform. This includes building ETL/ELT processes, data warehousing solutions, and data lakes that can handle large volumes of complex data from various sources within the healthcare ecosystem.
- • A significant part of your role will involve working with Azure cloud services to build and manage data infrastructure. This includes utilizing services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure SQL Database to create a resilient and performant data environment.
- • You will collaborate closely with data scientists, analysts, business stakeholders, and other engineering teams to understand their data needs and translate them into technical requirements. This cross-functional collaboration is vital for ensuring that the data solutions we build effectively support analytics, reporting, machine learning models, and other data-driven applications.
- • You will be tasked with optimizing existing data pipelines and data models for performance, cost-efficiency, and reliability. This involves identifying bottlenecks, implementing best practices for data processing, and ensuring data quality and integrity throughout the data lifecycle.
- • Developing and maintaining robust data governance practices will be a core responsibility. This includes implementing data quality checks, ensuring data security and compliance with healthcare regulations (e.g., HIPAA), and managing data lineage.
- • You will contribute to the architectural design of data solutions, ensuring they are scalable, maintainable, and aligned with industry best practices and Allata's technology roadmap.
- • Troubleshooting and resolving data-related issues will be a regular part of your duties, requiring a systematic approach to problem-solving and a deep understanding of the data infrastructure.
- • You will stay abreast of emerging technologies and trends in data engineering, cloud computing, and the Databricks ecosystem, and proactively identify opportunities to apply them to improve our solutions.
- • This role offers a unique opportunity to work on challenging projects in the healthcare industry, where your contributions can have a direct impact on improving healthcare outcomes and operational efficiency.
- • You will be expected to write clean, well-documented, and maintainable Python code for data processing and pipeline orchestration.
- • Participating in code reviews and providing constructive feedback to peers will be essential for maintaining code quality and fostering a collaborative engineering culture.
- • You will contribute to the development of data models that support business intelligence, reporting, and advanced analytics use cases.
- • Ensuring the security and privacy of sensitive healthcare data is paramount, and you will be responsible for implementing and adhering to strict security protocols.
- • You will work with various data formats and structures, including structured, semi-structured, and unstructured data.
- • The ability to work effectively in an agile development environment, adapting to changing priorities and requirements, is crucial.
- • You will play a role in defining and implementing monitoring and alerting strategies for data pipelines to ensure their continuous operation and performance.
- • This position requires a proactive mindset, a commitment to continuous learning, and a passion for building high-quality data solutions.
- • You will be part of a global team, requiring effective communication and collaboration across different time zones and cultures.
- • The successful candidate will be a problem-solver at heart, with a keen eye for detail and a dedication to delivering robust and reliable data engineering solutions.
- • You will contribute to the overall success of Allata by delivering exceptional data engineering services to our clients in the healthcare sector, helping them leverage their data to achieve strategic objectives.
🎯 Requirements
- • Proven experience as a Data Engineer, with a strong focus on building and optimizing data pipelines.
- • Proficiency in Python for data manipulation, scripting, and pipeline development.
- • Hands-on experience with Databricks for data processing, analytics, and machine learning workloads.
- • Experience with cloud platforms, specifically Azure, including services like Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure SQL Database.
- • Strong understanding of SQL and database concepts, including data warehousing principles.
- • Familiarity with ETL/ELT processes and data modeling techniques.
- • Excellent problem-solving and analytical skills.
- • Strong communication and collaboration abilities, with experience working in cross-functional teams.
🏖️ Benefits
- • Competitive salary and benefits package.
- • Opportunity to work on impactful projects in the healthcare industry.
- • Professional development and continuous learning opportunities.
- • Collaborative and supportive work environment.
- • Flexible work arrangements (details may vary).
- • Contribution to a global consulting and technology services firm with international offices.
Skills & Technologies
Python
Azure
Onsite
About Allata, LLC
Allata is a strategic technology consultancy that designs and delivers enterprise-level digital solutions for Fortune 1000 companies. It specializes in cloud architecture, data engineering, customer experience platforms, and custom software development across financial services, healthcare, retail, and manufacturing. The firm partners with clients to modernize legacy systems, implement scalable cloud and data strategies, and create omnichannel customer experiences that drive measurable business outcomes. Allata operates from offices in Dallas, Phoenix, Atlanta, and Salt Lake City, combining business strategy with deep technical expertise to accelerate digital transformation initiatives.
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