Data Engineer
Data Engineer
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Job Description
At Lifescale Analytics we help achieve datadriven decision by leveraging strategic technologies to create innovated solutions that ultimately help our clients to navigate their everchanging data have an opportunity for a Data Engineer prefer candidates to reside in Melbourne FL but open to remote work in the following states: Florida (FL) Georgia (GA) Minnesota (MN) North Carolina (NC) Ohio (OH) South Carolina (SC) Tennessee (TN) Texas (TX) or Virginia (VA). Note: Relocation expenses are not covered by the employer/client. We are seeking a skilled Data Engineer with 68 years of experience to design build and optimize data pipelines and infrastructure supporting missioncritical analytics particularly in government and regulated environments. This role will focus on largescale data processing integration and delivery ensuring high performance and compliance across cloud and onpremise platforms.
The Employer will not sponsor applicants for any employment visas at hiring or in the future including but not limited to H1B EAD or OPT visas. CorptoCorp or subcontract personnel will not be considered for this position
Responsibilities:
- Design and develop scalable ETL/ELT pipelines for ingesting transforming and delivering large volumes of structured and unstructured data
- Work with cloud data platforms (e.g. AWS Azure GCP) to build and optimize data storage and processing frameworks
- Collaborate with data scientists analysts and stakeholders to ensure data availability and integrity
- Support data warehouse and data lake initiatives ensuring alignment with business goals and compliance standards
- Maintain and improve existing data infrastructure implementing automation and monitoring as needed
- Ensure compliance with data governance security and regulatory requirements especially in government projects
- Create and maintain technical documentation for data workflows systems and integrations
- Additional responsibilities as the manager/PM or client request
Requirements
Qualifications:
- 68 years of experience in data engineering or a similar role
- Handson experience working with large datasets and highthroughput data processing frameworks (e.g. Spark Hadoop Kafka)
- Proficiency in SQL and at least one programming language (e.g. Python Java Scala)
- Experience with cloudnative data services (e.g. AWS Glue Redshift Azure Data Factory BigQuery)
- Strong understanding of data modeling ETL best practices and pipeline orchestration
- Experience with government systems or contracts and knowledge of data privacy/compliance frameworks (e.g. FISMA FedRAMP NIST)
- Experience with CI/CD pipelines and containerized environments (Docker Kubernetes)
- Familiarity with data cataloging lineage and metadata management tools
- Background in supporting analytics BI or machine learning platforms
- Willingness to travel as needed
- Ability to acquire a Secret Security clearance and acquire and maintain government identification/common access card (CAC). Preferred if candidates currently hold an active Secret Security Clearance or higher
- Ability to successfully pass any background checks and/or drug testing required on the contract. Note that any usage and detection of cannabis with or without a prescription will result in a failed clearance regardless of the legalization under State Laws.
- U.S. Citizenship is required due to security clearance requirements.
Education:
- Bachelors degree in Computer Science Data Engineering Information Systems or a related field
Additional Provisions:
- Candidate must have lived in the United States for the past 5 years.
- Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.
Required Experience:
Manager
Employment Type
Full-Time
