Senior Data Engineer

Strategic Staffing Solutions

is currently looking for a Data Engineer IV for one of its clients.

Job Title

: Senior Data Engineer

Location

: Charlotte, NC

Setting

: Hybrid/remote

Duration

: 12 months

Candidate Requirements

: Candidates must be willing to work on our W2 only. C2C/1099 and Glider assessment are not 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.

Platform Experience

Building/optimizing Data Lake House with Open Table formats

Kubernetes deployments/cluster administration

Transitioning 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 (e.g., EMR, EKS, Hadoop, Spark, Hudi, Kafka/Kinesis)

Tech Stack

GitHub Hub and GitHub Actions

AWS

IAM

API Gateway

Lambda

Step Functions

Lake Formation

EKS & Kubernetes

Glue: Catalog, ETL, Crawler

Athena

S3 (Strong foundational concepts like object data store vs block data store, encryption/decryption, storage tiers etc)

Apache Hudi

Apache Flink

PostgreSQL and SQL

RDS (Relational Database Services)

Python

Java

Terraform Enterprise (must be able to write and debug TF, understand modules, providers, functions)

Helpful Tech Stack

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

Provides technical direction, engage team in discussion on how to best guide/build features on key technical aspects and responsible for 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 solution

Lead design and implementation of data quality check methods

Ensure data security and permissions solutions, including data encryption, user access controls and logging

Be able to think unconventionally to find the best way to solve for a defined use case with fuzzy requirements.

Willing to do their own research to solve problems and can clearly present findings and engage in conversation on what makes one solution better than another

Thrive in a fail-fast environment, involving mini PoCs, and participate in an inspect and adapt process.

Questioning and Improvement mindset

Must be ready to ask questions about why something is currently done the way it is and suggest alternative solutions

Customer-facing skills

Interfacing with stakeholders and other product teams via pairing, troubleshooting support, and debugging issues they encounter with our products

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