Job#: 3055875 Job Description:Remote Data Automation Engineer
Location: 100% Remote with potential for quarterly travel to Gaithersburg, MD for team activities
Role Overview
We are seeking a Data Automation Engineer to design and implement data automation solutions primarily on AWS, with integration to selected Azure services and Generative AI capabilities. The role involves building scalable data pipelines and automation solutions that integrate cloud services, enterprise tools, and Generative AI to support mission-critical analytics, reporting, and customer engagement platforms. The ideal candidate is mission-focused, delivery-oriented, and able to apply critical thinking to design practical solutions and resolve complex technical issues.
Key Responsibilities
- Design and implement scalable data automation workflows using AWS services, with integration to selected Azure data platforms where required.
- Develop ETL/ELT processes to ingest, transform, and move data across Amazon DynamoDB, SQL Server hosted on AWS, Azure SQL, and other enterprise data sources.
- Design, develop, and support batch and near-real-time ingestion pipelines using Apache Spark and technologies such as Kafka or Flume, and collaborate with the search engineering team to integrate those pipelines with the existing Apache Solr platform.
- Evaluate and apply Generative AI services and frameworks, such as Amazon Bedrock, Azure OpenAI, Hugging Face, and LangChain, to prototype and evaluate selected GenAI-assisted capabilities.
- Develop scalable data-processing solutions using Amazon EMR and containerized deployment environments such as AWS Fargate or Kubernetes.
- Integrate Amazon Connect customer-interaction data into analytical data stores for operational reporting and analytics.
- Apply source-control, build, containerization, and CI/CD practices using tools such as GitHub, Azure DevOps, Jenkins, and Docker.
- Implement data solutions in accordance with established security and compliance controls, including identity and access management, KMS encryption, VPC isolation, role-based access control, and firewall policies.
- Support Agile DevOps processes with sprint-based delivery of pipeline and AI-enabled features.
Required Qualifications
- Bachelor's degree in Computer Science or a related field and 5+ years of experience in data engineering, data automation, or a related discipline.
- Must be able to independently design, develop, test, and troubleshoot Python- and SQL-based data pipelines in AWS environments, including integrations with Azure services where required, and clearly explain their personal contribution to production implementations.
- Strong hands-on experience with Apache Spark and working knowledge of at least one streaming or ingestion technology, such as Apache Kafka or Apache Flume.
- Hands-on experience with multiple AWS data and integration services, including several of the following: Amazon S3, AWS Glue, AWS Lambda, Amazon EMR, AWS Step Functions, and at least one AWS database service.
- Practical experience integrating at least one LLM platform or model service, such as Amazon Bedrock, Azure OpenAI Service, or an open-source model, into a Python-based workflow.
- Experience integrating REST APIs and external services into Python-based data pipelines and automated workflows.
- Experience using Jira and one or more source-control, build, or CI/CD platforms, such as GitHub, Azure DevOps, or Jenkins.
- Strong troubleshooting and performance-optimization skills across SQL, Spark, batch pipelines, and near-real-time ingestion workflows.
- Experience supporting production data platforms, including SLA monitoring, incident resolution, root-cause analysis, data reconciliation, performance troubleshooting, vulnerability remediation, and recurring maintenance.
- Good communication and presentation skills.
Preferred Qualifications
- Relevant certifications, such as AWS Certified Data Engineer - Associate, AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, or Databricks Certified Data Engineer.
- Familiarity with retrieval-augmented generation pipelines, embeddings, and vector-search technologies such as Apache Solr, Amazon OpenSearch Service, pgvector, or similar platforms.
- Experience with multi-cloud data integration (AWS and Azure).
- Experience with Docker and Kubernetes for containerized deployment, scalable data processing, and orchestration.
- Experience operationalizing Generative AI workflows, including prompt and model configuration, evaluation, observability, monitoring, and lifecycle management.
- Knowledge of data lineage/governance tools (Purview, Unity Catalog, AWS Glue Catalog).
- Familiarity with infrastructure-as-code tools, such as Terraform, AWS CloudFormation, or Bicep, for automated deployments.
- Experience with compliance frameworks (FedRAMP, PCI-DSS, HIPAA).
PLEASE NOTE: Candidates must be able to obtain and/or maintain a Public Trust clearance as a condition and continuation of employment.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
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