Senior Data Engineer

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals, and branded generic medicines. Our 109,000 colleagues serve people in more than 160 countries.

Our Neuromodulation business is an area of expertise for Abbott. This business includes implantable devices compatible with mobile technology to help people who suffer from chronic pain and movement disorders. Our Solutions include Proclaim (TM) XR SCS System, the #1 Spinal cord stimulator on the market, Proclaim (TM) DRG Neurostimulator, the only FDA approved DRG therapy and a market leader in radiofrequency ablation therapy, Abbott RFA. These non-opioid therapies allow us to provide interventional pain therapy to patients throughout the pain continuum. Our deep brain stimulation technology for progressive diseases help people manage their Parkinson's disease and essential tremor symptoms, steering away from side effects.

Our location in Plano, TX currently has an opportunity for a Senior Data Engineer. The Data Engineer is responsible for creating data pipelines and databases for several projects and works closely with full stack developers and data scientists.


  • Provide subject matter expertise and hands on delivery of data capture, curation and consumption pipelines on Azure.
  • Build Azure data solutions and provide technical perspective on storage, big data platform services, serverless architectures, Hadoop ecosystem, vendor products, RDBMS, DW/DM, NoSQL databases and security.
  • Participate in deep architectural discussions to build confidence and ensure team success when building new solutions and migrating existing data applications on the Azure platform.
  • Conduct full technical discovery, identifying pain points, business and technical requirements, "as is" and "to be" scenarios.
  • Understand the strategic direction set by senior management as it relates to team goals.
  • Use considerable judgment to define solution and seeks guidance on complex problems.


  • Bachelor's degree in Computer Science or related technical field.
  • 5+ years of hands-on experience in Azure and Big Data technologies such as Powershell, C#, Java, Node.js, Python, SQL, ADLS/Blob, Spark/SparkSQL, Databricks, Hive and streaming technologies such as Kafka, EventHub, NiFI etc.
  • 5+ years of RDBMS experience.
  • Experience in using Big Data File Formats and compression techniques. Experience working with Developer tools such as Azure DevOps, Bitbucket, Jira.
  • Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
  • Experience with cloud migration methodologies and processes including tools like Azure Data Factory.

  • Masters or higher degree in Computer Science or a related discipline.
  • Experience with cloud migration methodologies and processes including tools like Azure Data Factory
  • Experience with private and public cloud architectures, pros/cons, and migration considerations. Extensive experience providing practical direction within the Azure Native services and Hadoop.
  • Azure Certifications: DP-200 Implementing anAzure DataSolution, DP-201 Designing anAzure DataSolution, AZ-400: Designing and Implementing Microsoft DevOps Solutions.
  • DevOps on an Azure platform. - Experience developing and deploying ETL solutions on Azure. IoT, event-driven, microservices, Containers/Kubernetes in the cloud.
  • Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
  • Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
  • Multi-cloud experience a plus - Azure, AWS, Google
  • Proven ability to work creatively and analytically in a problem-solving environment
  • Excellent communication (written and oral) and interpersonal skills. Excellent organizational, multi-tasking, and time-management skills
  • Proven ability to work independently


At Abbott, you can have a good job that can grow into a great career. We offer:

· Training and career development, with onboarding programs for new employees and tuition assistance

· Financial security through competitive compensation, incentives and retirement plans

· Health care and well-being programs including medical, dental, vision, wellness and occupational health programs

· Paid time off

· 401(k) retirement savings with a generous company match

· The stability of a company with a record of strong financial performance and history of being actively involved in local communities

Learn more about our benefits that add real value to your life to help you live fully:

Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.

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