Kokosing, Inc.
Kokosing (www.kokosing.biz) is one of America's 40 largest General Contractors and services a broad spectrum of clients in both the private and public business sectors. Kokosing's services include heavy civil/industrial construction such as highways, bridges, underground utilities, water/wastewater facilities, and marine construction. For over 70 years, Kokosing has successfully attracted the most qualified technical personnel in the construction industry by offering visible challenges, superior quality, and attractive rewards. With over $2.8 billion in annual sales and a commitment to its workforce, Kokosing is the winning team.
Job Description We are seeking a highly skilled
Senior Data Engineer / Data Architect
with extensive hands‑on experience designing and implementing modern data solutions across cloud and on‑prem environments. This role combines hands‑on engineering with strategic architecture and leadership responsibilities. It will be instrumental in building, optimizing, and developing governance frameworks for the enterprise data ecosystems that will drive actionable insights and business value.
The ideal candidate combines deep expertise in
SQL, ETL pipelines, and modern cloud platforms
with strong problem‑solving skills, data governance experience, and a proven ability to develop and execute the data architecture vision and roadmap aligned with business objectives while collaborating with both technical and business stakeholders.
Key Responsibilities
Data Engineering & Architecture
Design, build, and optimize ETL pipelines using tools such as
SSIS, Azure Data Factory, Alteryx, and Databricks .
Design & implement modern
data models, data lakes, data warehouses, data mesh, and cloud‑native pipelines
across SQL Server, Snowflake, AWS and Azure ecosystems.
Develop and maintain
CI/CD pipelines
using Azure DevOps, GitHub Actions, Docker, and Terraform.
Lead the design and implementation of
Change Data Capture (CDC)
and data integration solutions.
Implement data quality, lineage, and cataloging solutions.
Data Governance & Quality
Establish and manage
data catalogs
and
governance frameworks
using tools like
Azure Purview
and
Databricks Unity Catalog .
Ensure data quality, lineage, and security across distributed systems.
Document data architectures, pipelines, and standards to support maintainability and scalability.
In-depth knowledge of DAMA‑BMBOK and DAMA International standards.
Analytics & Business Enablement
Build
dashboards and reporting solutions
in Power BI and Business Objects to deliver insights across HR, Finance, and Operations.
Identify high‑value use cases for AI and predictive analytics in collaboration with stakeholders.
Partner with stakeholders to translate business requirements into scalable technical solutions.
Introduce and apply
AI/ML tools
(Databricks Genie Spaces, Gemini, ChatGPT, CoPilot) to accelerate innovation and automation.
Leadership & Collaboration
Serve as the technical leader and subject matter expert for data and AI/ML.
Mentor junior engineers and analysts, promoting best practices in coding, design, and data strategy.
Serve as a trusted advisor to cross‑functional teams, providing expertise in database optimization, performance tuning, and workflow automation.
Lead development collaboration efforts, including vendor evaluation and recruitment of data engineers, analysts, and data scientists as the team expands.
Qualifications Required
10+ years
of progressive experience in
data engineering, architecture, and analytics
roles.
Proven expertise with
SQL, Python, and C#
for building enterprise‑grade data solutions.
Hands‑on experience with
cloud platforms : Azure (Azure SQL, Data Factory, Databricks, Purview) and AWS (Glue, S3).
Strong background in
data modeling, ETL design, governance, and performance tuning .
Experience with
DevOps practices
(Azure DevOps, GitHub Actions, Docker, Terraform).
Proficiency with
reporting/BI tools
(Power BI, Tableau, Business Objects, SSRS).
Familiarity with
AI/automation tools
(Databricks Genie Spaces, ChatGPT, Gemini).
Excellent communication skills and ability to collaborate with technical and non‑technical stakeholders.
Bachelor's degree in Computer Science, Engineering, or related field (Mechanical Engineering background a plus).
Preferred
Experience and knowledge of the construction industry (construction, field operations, IoT, financials).
Demonstratable experience delivering IT‑solutions that drove innovation.
Certifications (Preferred)
Microsoft
Azure Fundamentals
Microsoft
Azure Data Fundamentals
Microsoft
Azure Security Fundamentals
Teradata Vantage
Certified
Kokosing is an equal employment opportunity/affirmative action federal and state contractor. The company does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class.
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Job Description We are seeking a highly skilled
Senior Data Engineer / Data Architect
with extensive hands‑on experience designing and implementing modern data solutions across cloud and on‑prem environments. This role combines hands‑on engineering with strategic architecture and leadership responsibilities. It will be instrumental in building, optimizing, and developing governance frameworks for the enterprise data ecosystems that will drive actionable insights and business value.
The ideal candidate combines deep expertise in
SQL, ETL pipelines, and modern cloud platforms
with strong problem‑solving skills, data governance experience, and a proven ability to develop and execute the data architecture vision and roadmap aligned with business objectives while collaborating with both technical and business stakeholders.
Key Responsibilities
Data Engineering & Architecture
Design, build, and optimize ETL pipelines using tools such as
SSIS, Azure Data Factory, Alteryx, and Databricks .
Design & implement modern
data models, data lakes, data warehouses, data mesh, and cloud‑native pipelines
across SQL Server, Snowflake, AWS and Azure ecosystems.
Develop and maintain
CI/CD pipelines
using Azure DevOps, GitHub Actions, Docker, and Terraform.
Lead the design and implementation of
Change Data Capture (CDC)
and data integration solutions.
Implement data quality, lineage, and cataloging solutions.
Data Governance & Quality
Establish and manage
data catalogs
and
governance frameworks
using tools like
Azure Purview
and
Databricks Unity Catalog .
Ensure data quality, lineage, and security across distributed systems.
Document data architectures, pipelines, and standards to support maintainability and scalability.
In-depth knowledge of DAMA‑BMBOK and DAMA International standards.
Analytics & Business Enablement
Build
dashboards and reporting solutions
in Power BI and Business Objects to deliver insights across HR, Finance, and Operations.
Identify high‑value use cases for AI and predictive analytics in collaboration with stakeholders.
Partner with stakeholders to translate business requirements into scalable technical solutions.
Introduce and apply
AI/ML tools
(Databricks Genie Spaces, Gemini, ChatGPT, CoPilot) to accelerate innovation and automation.
Leadership & Collaboration
Serve as the technical leader and subject matter expert for data and AI/ML.
Mentor junior engineers and analysts, promoting best practices in coding, design, and data strategy.
Serve as a trusted advisor to cross‑functional teams, providing expertise in database optimization, performance tuning, and workflow automation.
Lead development collaboration efforts, including vendor evaluation and recruitment of data engineers, analysts, and data scientists as the team expands.
Qualifications Required
10+ years
of progressive experience in
data engineering, architecture, and analytics
roles.
Proven expertise with
SQL, Python, and C#
for building enterprise‑grade data solutions.
Hands‑on experience with
cloud platforms : Azure (Azure SQL, Data Factory, Databricks, Purview) and AWS (Glue, S3).
Strong background in
data modeling, ETL design, governance, and performance tuning .
Experience with
DevOps practices
(Azure DevOps, GitHub Actions, Docker, Terraform).
Proficiency with
reporting/BI tools
(Power BI, Tableau, Business Objects, SSRS).
Familiarity with
AI/automation tools
(Databricks Genie Spaces, ChatGPT, Gemini).
Excellent communication skills and ability to collaborate with technical and non‑technical stakeholders.
Bachelor's degree in Computer Science, Engineering, or related field (Mechanical Engineering background a plus).
Preferred
Experience and knowledge of the construction industry (construction, field operations, IoT, financials).
Demonstratable experience delivering IT‑solutions that drove innovation.
Certifications (Preferred)
Microsoft
Azure Fundamentals
Microsoft
Azure Data Fundamentals
Microsoft
Azure Security Fundamentals
Teradata Vantage
Certified
Kokosing is an equal employment opportunity/affirmative action federal and state contractor. The company does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class.
#J-18808-Ljbffr