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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Strategic Staffing Solutions, is seeking the following. Apply via Dice today!
Job Title Senior Data Engineer
Location Charlotte, NC
Setting Hybrid/remote
Duration 12 months
Employment Type W2 Only – C2C/1099 not accepted. Complete the Glider assessment to be considered.
Top Skills
Apache Flink
AWS Lake Formation
Kubernetes
Python
Terraform
AWS Glue
Job Summary We are specifically looking for individuals with at least 5+ years of experience in Data Engineering and/or Software Engineering roles who can provide knowledge and support to our existing engineers.
Required Experience
Building and optimizing a Data Lake House with Open Table formats
Cluster administration and deployments of Kubernetes
Migration of on-premise big data platforms to scalable cloud-based platforms like AWS
Distributed Systems, Microservice architecture, and containers
Cloud streaming use cases in Big Data Ecosystems (EMR, EKS, Hadoop, Spark, Hudi, Kafka/Kinesis)
Tech Stack
GitHub & GitHub Actions
AWS – IAM, API Gateway, Lambda, Step Functions, Lake Formation, EKS & Kubernetes, Glue (Catalog, ETL, Crawler), Athena, S3 (object vs block data store concepts, encryption/decryption, storage tiers)
Apache Hudi
Apache Flink
PostgreSQL, SQL, RDS, PostgreSQL
Python, Java
Terraform Enterprise
Helm
Kafka, Kafka Schema Registry
AWS Services: CloudTrail, SNS, SQS, CloudWatch, Step Functions, Aurora, EMR, Redshift, Iceberg
Secrets Management Platforms: Vault, AWS Secrets Manager
Helpful Tech Stack Experience
Helm
Kafka and Kafka Schema Registry
AWS Services: CloudTrail, SNS, SQS, CloudWatch, Step Functions, Aurora, EMR, Redshift, Iceberg
Secrets Management Platform: Vault, AWS Secrets Manager
Core Responsibilities and Soft Skills
Provides technical direction and engages the team in discussions on best approaches and product tech delivery.
Works closely with the Product Owner and team to align on delivery goals and timing.
Collaborates with architects on key technical decisions for data and overall solutions.
Leading design and implementation of data quality check methods.
Ensures data security and permissions solutions, including data encryption, user access controls, and logging.
Thoughtful problem solving with unconventional approaches for fuzzy requirements.
Conducts independent research, presents findings, and engages in solution comparison.
Thrives in a fail‑fast environment, working on proof‑of‑concepts and adaptive processes.
Demonstrates questioning and continuous improvement mindset.
Initiates discussions about current processes and recommends alternatives.
Customer‑facing skills; interfaces with stakeholders and other product teams through pairing, troubleshooting, and debugging.
Beware of scams. S3 never asks for money during its onboarding process.
Referrals increase your chances of interviewing at Jobs via Dice by 2x
Get notified about new Senior Data Engineer jobs in
Charlotte, NC .
#J-18808-Ljbffr
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Strategic Staffing Solutions, is seeking the following. Apply via Dice today!
Job Title Senior Data Engineer
Location Charlotte, NC
Setting Hybrid/remote
Duration 12 months
Employment Type W2 Only – C2C/1099 not accepted. Complete the Glider assessment to be considered.
Top Skills
Apache Flink
AWS Lake Formation
Kubernetes
Python
Terraform
AWS Glue
Job Summary We are specifically looking for individuals with at least 5+ years of experience in Data Engineering and/or Software Engineering roles who can provide knowledge and support to our existing engineers.
Required Experience
Building and optimizing a Data Lake House with Open Table formats
Cluster administration and deployments of Kubernetes
Migration of on-premise big data platforms to scalable cloud-based platforms like AWS
Distributed Systems, Microservice architecture, and containers
Cloud streaming use cases in Big Data Ecosystems (EMR, EKS, Hadoop, Spark, Hudi, Kafka/Kinesis)
Tech Stack
GitHub & GitHub Actions
AWS – IAM, API Gateway, Lambda, Step Functions, Lake Formation, EKS & Kubernetes, Glue (Catalog, ETL, Crawler), Athena, S3 (object vs block data store concepts, encryption/decryption, storage tiers)
Apache Hudi
Apache Flink
PostgreSQL, SQL, RDS, PostgreSQL
Python, Java
Terraform Enterprise
Helm
Kafka, Kafka Schema Registry
AWS Services: CloudTrail, SNS, SQS, CloudWatch, Step Functions, Aurora, EMR, Redshift, Iceberg
Secrets Management Platforms: Vault, AWS Secrets Manager
Helpful Tech Stack Experience
Helm
Kafka and Kafka Schema Registry
AWS Services: CloudTrail, SNS, SQS, CloudWatch, Step Functions, Aurora, EMR, Redshift, Iceberg
Secrets Management Platform: Vault, AWS Secrets Manager
Core Responsibilities and Soft Skills
Provides technical direction and engages the team in discussions on best approaches and product tech delivery.
Works closely with the Product Owner and team to align on delivery goals and timing.
Collaborates with architects on key technical decisions for data and overall solutions.
Leading design and implementation of data quality check methods.
Ensures data security and permissions solutions, including data encryption, user access controls, and logging.
Thoughtful problem solving with unconventional approaches for fuzzy requirements.
Conducts independent research, presents findings, and engages in solution comparison.
Thrives in a fail‑fast environment, working on proof‑of‑concepts and adaptive processes.
Demonstrates questioning and continuous improvement mindset.
Initiates discussions about current processes and recommends alternatives.
Customer‑facing skills; interfaces with stakeholders and other product teams through pairing, troubleshooting, and debugging.
Beware of scams. S3 never asks for money during its onboarding process.
Referrals increase your chances of interviewing at Jobs via Dice by 2x
Get notified about new Senior Data Engineer jobs in
Charlotte, NC .
#J-18808-Ljbffr