Job Title:
Senior Data Engineer
Location:
Charlotte, NC
Work Type:
Onsite
– Local Candidates Only
Employment Type:
Contract (C2C)
Duration:
18+ Months (Possible Extension)
Visa allowed:
USC, GC, GC EAD, H4 EAD
Interview Mode:
In-person
Open to locals of NC only
Role Overview:
We are seeking a highly
skilled
Senior Data Engineer
to design and deliver scalable, end-to-end
data solutions for business problems of varying complexity. The ideal candidate
will translate business requirements into technical solutions, define data
architecture, and ensure high-quality implementation aligned with enterprise
standards. This role is ideal for experienced data engineers with strong
GCP,
Spark/Scala, and SQL expertise
, looking to build scalable data solutions in
a fast-paced enterprise environment.
Key Responsibilities:
-
Design and develop
end-to-end data
solutions
for business and enterprise needs
-
Translate
business requirements
into technical specifications and architecture
-
Build and optimize
data pipelines
and ETL processes
using modern data technologies
-
Work with cross-functional teams to
ensure
scalable, reliable, and high-performance solutions
-
Lead development of
integrated
data applications and reusable frameworks
-
Ensure
data quality,
observability, and governance compliance
-
Develop and enforce
testing
strategies
including unit, integration, and UAT support
-
Collaborate with
data science
teams
to enable model deployment and scalability
-
Work with data governance teams on
data
retention, privacy, and security policies
-
Participate in
infrastructure and
platform decisions
including build vs buy
-
Analyze trade-offs involving
cost,
scalability, performance, and risk
-
Mentor junior engineers and
contribute to planning and estimation activities
Required Skills (Top 3):
-
Strong expertise in
SQL
-
Hands-on experience with
Spark
& Scala
-
Experience with
GCP Big Data
technologies
Technical Skills:
-
Big Data & Cloud:
GCP, BigQuery
-
Data Processing:
Spark, Scala
-
Workflow Orchestration:
Airflow
-
Version Control & CI/CD:
GitHub, Bitbucket, Jenkins
-
Data Visualization:
Looker Studio Pro, LookML
Preferred Skills:
-
Experience with
LookML / LSP
-
Proficiency in
Python
Mandatory Qualifications:
-
Bachelor’s degree in Computer
Science, Engineering, CIS, or related field (or equivalent experience)
-
5+ years of experience in
data
engineering / data warehousing / ETL / software engineering
-
4+ years of experience in
SDLC and
solution implementation
-
5+ years of experience in
SQL, object-oriented
programming, and scripting
-
5+ years of experience with
big
data technologies
-
3+ years of experience with
GCP
cloud-based data platforms
Key Competencies:
-
Strong analytical and problem-solving
skills
-
Ability to design
scalable and
maintainable data architectures
-
Experience working in
enterprise
data environments
-
Excellent communication and
stakeholder management