Data Engineer

Data Engineer page is loaded## Data Engineer locations:
US - GA, Atlanta time type:
Full time posted on:
Posted Todayjob requisition :
37112
** Job Family:
** Database Administration
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* Travel Required:

** Up to 25%
*
* Clearance Required:

** None
*
* What You Will Do:

*** Design, develop, and maintain robust data pipelines and ETL/ELT processes to ingest, transform, and load data from diverse structured and unstructured sources.
* Build and optimize data models and data architectures to support analytics, reporting, and operational use cases.
* Implement and maintain CI/CD pipelines for data engineering workflows, including data pipelines and scheduled jobs, using version control and automation tools.
* Develop and deploy cloud-based data solutions, leveraging services such as object storage, serverless compute, and messaging/queueing services.
* Collaborate with database administrators, analysts, and application teams to integrate data sources, design schemas, and support downstream data consumers.
* Ensure data quality, integrity, and reliability through validation, monitoring, logging, and alerting.
* Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption efforts.
* Troubleshoot and resolve issues in development and production environments to maintain stable and reliable data pipelines.
* Document data flows, pipelines, and technical solutions to support knowledge sharing and compliance requirements.
* Stay current with emerging tools, technologies, and best practices in data engineering and cloud platforms.
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* What You Will Need:

*** US Citizenship or Green Card is required
* Bachelor’s degree in Computer science, Software Engineering, Information Systems, and/or related fields.
* 3–5 years of experience in data engineering, software development, or a closely related role.
* Proficiency in one or more programming languages commonly used in data engineering (e.g., Python, SQL, R, PySpark, or Java).
* Hands-on experience designing and building data pipelines and ETL/ELT processes leveraging commonly used ETL/ELT tools (e.g., SSIS, Databricks, Azure Data Factory)
* Strong knowledge of relational database design, data warehouses and/or data lakes using star/snowflake schemas
* Experience working with relational and/or No

SQL databases (e.g., Oracle, Postgres, SQL Server, Mongo

DB).
* Experience working in a cloud environment (AWS or Azure) supporting data solutions.
* Familiarity with version control and CI/CD practices for data workflows (e.g., Git, Jenkins).
* Exposure to containerization technologies (e.g., Docker; Kubernetes is a plus).
* Experience using monitoring and logging tools to support data pipeline reliability (e.g., Cloud Watch, Splunk, Kibana, Elasticsearch).
* Ability to work effectively in an Agile development environment.
* Strong analytical and troubleshooting skills, and the ability to communicate technical concepts clearly to clients, engineers, and business stakeholders
* Ability to work independently in a fast-paced, client-facing environment.
** What Would Be Nice To Have:
*** AWS, Azure, Databricks, or other data engineering–related certifications (Datalake of Exasol).
* Experience with data visualization or analytics tools (e.g., Kibana, Tableau, Power BI).
* Familiarity with security, compliance, and data governance best practices in healthcare.
* Exposure to microservices-based architectures or AI/ML-enabled data pipelines.
* Prior consulting experience.
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* What We Offer:

** Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:
* Medical, Rx, Dental & Vision Insurance
* Personal and Family Sick Time & Company Paid Holidays
* Position may be eligible for a discretionary variable incentive bonus
* Parental Leave and Adoption Assistance
* 401(k) Retirement Plan
* Basic Life & Supplemental Life
* Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
* Short-Term & Long-Term Disability
* Student Loan Pay Down
* Tuition Reimbursement, Personal Development & Learning…