1672 IT & Software Developer jobs in the US
Mid-Level Platform Engineer - B2B Data
$124,800 - 145,600
Eliassen Group
Walkers Brook Drive 55, Almont
$124,800 - 145,600
Requirements
Must:
- 3 to 5+ years of experience in platform, cloud, or data engineering, specializing in secure B2B integrations at scale
- Advanced skills with AWS services for data exchange and governance, including S3, IAM, KMS, Transfer Family, API Gateway, and PrivateLink, as well as familiarity with Kinesis or MSK and Redshift or Snowflake
- Practical experience with SFTP, AS2, EDI, and API-based exchanges, along with managed file transfer and partner connectivity methods
- Strong understanding of security best practices, including least privilege access, encryption in transit and at rest, tokenization, and PII handling
- Expertise in infrastructure as code with Terraform or CloudFormation, continuous integration or continuous deployment, Git workflows, and scripting in Python or Bash
- Proven track record of developing observability and reliability using CloudWatch, CloudTrail, metrics, alert systems, runbooks, and SLOs
- Exceptional troubleshooting abilities, capable of leading complex incident responses and conducting root cause analysis
- Familiarity with enterprise identity management and federation protocols such as SAML, OAuth, or OIDC along with ABAC or RBAC policy frameworks (preferred)
- Knowledge of data contracts, governance, and cataloging practices (preferred)
- Experience with AWS management tools like Control Tower, Organizations, and security baselines (preferred)
- Understanding of compliance frameworks such as SOX, SOC 2, HIPAA, GDPR, or CCPA, including automation for audit evidence (preferred)
- Experience with CNCF or Kubernetes (preferred)
Responsibilities
- Design and develop standardized B2B data exchange methodologies, including SFTP, AS2, and API, utilizing AWS services such as Transfer Family, API Gateway, and PrivateLink
- Construct data ingestion, curation, and delivery pipelines using AWS technologies like S3, Glue, Lake Formation, Step Functions, and Redshift or Snowflake
- Implement end-to-end encryption and key management strategies, including TLS and KMS, while ensuring controls for PII and PHI handling
- Develop secure VPC networking patterns and enable cross-account access for service-to-service connectivity
- Establish role- and attribute-based access controls with IAM and Lake Formation to ensure least-privilege access
- Operationalize data contracts and schema validation, utilizing Glue Data Catalog and versioned interfaces
- Set guardrails with AWS Organizations and Control Tower while enforcing configuration baselines and detection of configuration drift
- Integrate observability features using tools like CloudWatch, CloudTrail, and AWS Config along with structured logging and metrics
- Define service level indicators (SLIs) or service level objectives (SLOs), manage error budgets, automate remediation processes, and create runbooks and incident workflows
- Oversee secrets management, certificate rotation, and partner credential lifecycle, facilitating automated onboarding and offboarding
- Deliver infrastructure as code through Terraform or CloudFormation alongside GitOps workflows; create reusable modules and pipelines
- Integrate continuous integration or continuous delivery processes with testing and security scans, enabling progressive delivery for data exchange elements
- Collaborate with Security, Legal, and Compliance teams to meet necessary regulatory requirements
- Work closely with Technical Program Managers, Data Engineering, and external partners to enhance integration strategies and troubleshoot issues
- Provide Tier-3 data engineering support, lead post-incident analyses, and encourage ongoing improvements in reliability and security
Description
We are looking for a mid-level platform engineer to join our team remotely. Our primary objective is to design and maintain secure, scalable B2B data exchange capabilities on AWS. We focus on creating reusable patterns and automation that assure compliant data flows across various stakeholders. Our culture emphasizes collaboration, operational excellence, and continuous improvement, as we foster a supportive environment that values contributions from all team members. We offer a competitive benefits package including medical, dental, and vision insurance, a 401k plan with company matching, and life insurance. Join us in making a significant impact in our industry.
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How many Data Engineer jobs are in the United States?
Currently, there are 1672 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
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Which companies are hiring for Data Engineer jobs in the United States?
Fort44 Inc., Damotech, Neptronic, TORQ IT Limited, Confidential, Levven Electronics Ltd., Annexus Group among others, are currently hiring for Data roles in the United States.
The company with most openings is Jobot as they are hiring for 125 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Jobot as they are hiring for 125 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.