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Join to apply for the Data Warehouse Engineer role at Cymertek Corporation

Data Warehouse Engineer

LOCATION

Honolulu, HI 96815

CLEARANCE

TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)

Key Summary

We are looking for a detail-oriented and innovative Data Warehouse Engineer to join our team and help design, build, and maintain high-performance data warehousing solutions. In this role, you will collaborate with cross-functional teams to structure and optimize large-scale data environments, ensuring efficient data integration, storage, and accessibility for analytics and reporting. You will be responsible for implementing ETL processes, maintaining data quality, and ensuring the scalability of our data warehouse systems. The ideal candidate has a strong foundation in data modeling, data architecture, and best practices for managing large datasets, with a passion for driving data-driven decision-making. If you are excited about working with complex data systems and creating robust data infrastructure, we want to hear from you.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***

SIMILAR CAREER TITLES

Data Engineer, ETL Developer, Data Architect, Business Intelligence Engineer, Data Integration Engineer, Database Engineer, Data Systems Engineer, Analytics Engineer, Big Data Engineer, Data Infrastructure Engineer, ect.

DEGREE (Level Desired)

Bachelor's Degree

DEGREE (Focus)

Computer Science, Information Systems, Data Science, Software Engineering, Mathematics, Statistics, Database Management, Information Technology, Business Analytics, Applied Science, ect.

Alternate Experience

General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.

Position Responsibilities

• Experience with data warehouse architecture
• Proficiency in ETL tools and processes
• Ability to design and implement data models
• Expertise in data integration and transformation
• Strong knowledge of database management systems
• Understanding of data governance and compliance
  
  

• Proficiency in SQL and relational databases
• Familiarity with cloud-based data warehouses
• Expertise in data quality management
• Experience with data pipeline orchestration
• Strong understanding of data warehousing concepts
• Skill in performance tuning of data systems
  
  

• Knowledge of NoSQL databases
• Experience with real-time data processing
• Familiarity with business intelligence tools
• Understanding of data security protocols
• Experience in handling unstructured data
• Familiarity with machine learning integration
  
  

• Excellent Salaries
• Flexible Work Schedule
• Cafeteria Style Benefits
• 10% - 401k Matching (Vested Immediately)
• Additional 401k Profit Sharing
• 30 days Paid Leave/Holiday (No Use or Lose!)
• The day off for your birthday
• Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
• HSA/FSA
• AFLAC
• Long Term/Short Term Disability - 100% employee coverage. No cost to you.
• Life Insurance - 100% employee coverage. No cost to you.
• Additional Discretionary Life Insurance
• Paid Training
• No long, wordy reviews with tons of paperwork!
• Referral bonus program with recurring annual payments
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Cymertek Corporation by 2x

Get notified about new Data Warehouse Engineer jobs in Honolulu, HI .

Honolulu, HI $29,501.00- 240,240.00 6 hours ago

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Join to apply for the Data Warehouse Engineer role at Steampunk, Inc.

Join to apply for the Data Warehouse Engineer role at Steampunk, Inc.

We are seeking a Data Warehouse Engineer to join our team and work closely with clients to develop, optimize, and scale enterprise-grade data platforms, warehouses, and pipelines. We are looking for more than just a Data Warehouse Engineer, but a highly skilled data technologist with strong communication and problem-solving abilities who thrives in cloud-based environments.

Contributions

Key Responsibilities

• Help develop the migration of data environments with a focus on performance, reliability, and scalability.
• Ability to examine and understand complex data pipelines.
• Assess, document, and analyze data sources, ETL workflows, and business intelligence tools.
• Address technical inquiries related to data warehouse customization, integration, and enterprise architecture.
• Develop and maintain robust data pipelines and ETL processes to support business intelligence and analytics.
• Design and enforce data governance strategies, ensuring high data quality and compliance.
• Work in an Agile development environment, collaborating with data scientists, engineers, and business stakeholders.
• Contribute to the growth of our Data Exploitation Practice by implementing cutting-edge data warehousing solutions.
  
  

• Ability to hold a position of public trust with the US government.
• 3-5+ years of experience in data engineering, data warehousing, or data architecture.
• Knowledge of Python or other object-oriented languages is a plus.
• Experience designing and implementing data governance strategies.
  
  

• Strong knowledge of SQL and database optimization techniques (Preferably SQL Server. Alternatively, PostgreSQL, MySQL, Oracle).
• Experience with Databricks, PySpark, SparkSQL is a plus.
• Experience with SSIS or ADF.
• Experience creating entity-relationship diagrams.
• Ability to work in a DevSecOps environment, applying CI/CD best practices.
• DBA or server patching experience is a plus.
• Experience designing and implementing data governance strategies.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Steampunk, Inc. by 2x

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Who is Swire Coca-Cola? We are one of the largest bottlers of Coca-Cola and other beverage brands in America. Our 7,900 hardworking and passionate employees produce and distribute more than 50 brands and flavors across 13 states. We have as many careers as we have flavors, and regardless of which role you choose, you have a direct impact on Swire Coca-Cola, our products, and the communities we call home.

Why you'll love working at Swire Coca-Cola (enrollment in a Swire Medical Plan is required for some benefits):

• Health coverage (3 medical options, dental and vision). 401(k) Retirement Plan w/company match
• Health Savings Accounts w/company match
• FREE virtual primary care, acute careand physical therapy
• FREE Employee Assistance Program
• Company paid (vacation, holidays, sick time, bereavement, jury duty, maternity/parental, disability leave and volunteer time)
• Discounted & free product
• Tuition reimbursement
• Opportunities for career advancement

• Bachelor's degree
• 7 years of overall experience
• 5 years in advanced analytics solution architecture, standardizing and building enterprise level data analysis solutions
• Hands on experience with modern Data Warehousing, SSAS, SSRS, SSIS, Azure Analysis Services, Azure Data Factory, Azure Data Lake, MS SQL Server, Oracle DB, Power BI and Tableau.
• Programming experience with scripting languages such as Python, SQL and PowerShell is required.
• Deep understanding of industry patterns for advanced analytics architecture and integration.

As a Senior Data Warehouse Engineer, you will provide advanced data warehousing support, manage complex data management processes, and assist with ERP implementation. You will work closely with the data warehousing team to ensure data integrity and optimize data storage solutions.

Key Responsibilities:
Provide advanced data warehousing support and manage complex data management processes.
Assist with ERP implementation and data integration.
Ensure data integrity and optimize data storage solutions.
Perform data analysis and generate reports.
Collaborate with cross-functional teams to support data-related projects.
Skills and Capabilities:
Strong knowledge of data warehousing and data management.
Excellent communication and interpersonal skills.
Proficiency with data warehousing tools and software.
Strong analytical and problem-solving skills.

• Monitor performance and troubleshoot issues within ETL projects, proposing and implementing effective solutions to optimize system performance.
• Collaborate with data engineers, analysts, and other stakeholders to integrate new data sources and ensure seamless data flow and accessibility across the organization.
• Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement.
• Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development.
• Stay updated on the latest data warehouse management features and best practices, applying this knowledge to innovate and improve project outcomes.
• Implement and maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations.
• Evaluate and recommend new tools, technologies, and methodologies to enhance data processing and storage capabilities.
• Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models within Dataiku and other ETL systems, optimizing for performance and reliability.
• Collaborate with data engineers, analysts, and other stakeholders to ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes.
• Other duties as assigned.

• 4+ years experience managing data warehouses and ETL systems.

• 4-5 years working with Azure Data Warehouses.
• 2-3 years experience with version control systems, such as Git.
• 2-3 years experience in other data science and machine learning tools and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Java, Apex).

• Strong abilities in creating and optimizing data warehouses in Azure, but knowledgeable in AWS and GCP.
• Conceptual understanding of relational databases and data querying.
• Strong proficiency in writing and modifying database centric API's.
• Familiarity with Dataiku and other ETL systems or a willingness to learn and master the platform.
• Excellent problem-solving skills and attention to detail.
• Strong proficiency in cloud computing platforms.
• Proficiency in containerization and virtualization technologies.
• Ability to work independently and collaboratively in a team environment.
• Strong communication skills, with the ability to document and explain technical details clearly.

• Position continually requires the ability to talk and hear both in person and over the phone, visual acuity; ability to operate equipment, read, and use a keyboard.
• Position frequently requires the ability to sit, walk, and stand for extended periods of time.
• Position requires limited travel, predominantly for professional development and/or learning opportunities.

• You must live in or be able to relocate to Tulsa, OK or the surrounding area.
• This is not a fully remote position as we work in a hybrid office environment. In-Office and hybrid/flexible schedules are based on business need, staff readiness, and approved by one's supervisor.
• This is a full-time position with an expectation of working 40 hours per week.
• The typical hours of operation are Monday through Friday, 8:00 a.m. to 5:00 p.m.
• The typical hours of operation are Monday through Friday, 8:00 a.m. to 5:00 p.m. with flexibility required for various events, meetings, and relevant business needs.

• 100% employer paid medical, dental, and long-term disability for full-time employees only. Option to add vision and dependents.
• 401K employee and employer contributions.
• Paid time off to support you while you are out of the office.
• Paid holidays so our employees can spend time with those they care about.
• Employer paid AD&D life insurance, with employee option to add supplemental life insurance.

• Experience with data warehouse architecture
• Proficiency in ETL tools and processes
• Ability to design and implement data models
• Expertise in data integration and transformation
• Strong knowledge of database management systems
• Understanding of data governance and compliance

• Proficiency in SQL and relational databases
• Familiarity with cloud-based data warehouses
• Expertise in data quality management
• Experience with data pipeline orchestration
• Strong understanding of data warehousing concepts
• Skill in performance tuning of data systems

• Knowledge of NoSQL databases
• Experience with real-time data processing
• Familiarity with business intelligence tools
• Understanding of data security protocols
• Experience in handling unstructured data
• Familiarity with machine learning integration

• Excellent Salaries
• Flexible Work Schedule
• Cafeteria Style Benefits
• 10% - 401k Matching (Vested Immediately)
• Additional 401k Profit Sharing
• 30 days Paid Leave/Holiday (No Use or Lose!)
• The day off for your birthday
• Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
• HSA/FSA
• AFLAC
• Long Term/Short Term Disability - 100% employee coverage. No cost to you.
• Life Insurance - 100% employee coverage. No cost to you.
• Additional Discretionary Life Insurance
• Paid Training
• No long, wordy reviews with tons of paperwork!
• Referral bonus program with recurring annual payments

• Experience with data warehouse architecture
• Proficiency in ETL tools and processes
• Ability to design and implement data models
• Expertise in data integration and transformation
• Strong knowledge of database management systems
• Understanding of data governance and compliance

• Proficiency in SQL and relational databases
• Familiarity with cloud-based data warehouses
• Expertise in data quality management
• Experience with data pipeline orchestration
• Strong understanding of data warehousing concepts
• Skill in performance tuning of data systems

• Knowledge of NoSQL databases
• Experience with real-time data processing
• Familiarity with business intelligence tools
• Understanding of data security protocols
• Experience in handling unstructured data
• Familiarity with machine learning integration

• Excellent Salaries
• Flexible Work Schedule
• Cafeteria Style Benefits
• 10% - 401k Matching (Vested Immediately)
• Additional 401k Profit Sharing
• 30 days Paid Leave/Holiday (No Use or Lose!)
• The day off for your birthday
• Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
• HSA/FSA
• AFLAC
• Long Term/Short Term Disability - 100% employee coverage. No cost to you.
• Life Insurance - 100% employee coverage. No cost to you.
• Additional Discretionary Life Insurance
• Paid Training
• No long, wordy reviews with tons of paperwork!
• Referral bonus program with recurring annual payments

• • Works closely with IT partners and the product teams to lead and participate in the identification, planning, prioritizing, requirements gathering, design, development and implementation of all Data Warehousing and BI projects.
  • Architect and maintain data warehouses to support ease of data modeling, reporting, and analysis using dimensional model architecture (such as star schemas and OLAP cubes)
  • With support from the product team you will gather requirements to grow and improve the data warehouse for reporting, BI integration, and ad hoc analysis
  • Makes recommendations, based on data profiling and data analysis, for changes to existing/legacy systems particularly in the area of data warehouse architecture
  • Develop and maintain database stored procedures, views, and functions that support data models
  • Works with non-technical, subject matter experts to understand underlying data behavior and characteristics in ways that will be new for such non-technical people.
  • Develop and maintain ETL processes, diagnose and resolve database access and performance issues, and plan and coordinate backup and disaster recovery setup
  • Provide expert thought leadership in the development and implementation of data governance policies and processes
  • Provide data management support and work cooperatively with the product team to resolve data and process issues
  • Create and maintain technical documentation

• • Bachelor's degree in Computer Science, Computer Engineering or relevant field.
  • At least five years or more of experience in ETL processes, data warehouse architecture and or administration within the Microsoft/SQL stack
  • Strong familiarity with Kimball methodologies of data warehousing
  • Ability to communicate verbally and in writing with end users and technical users to translate requirements from end users into useful visualizations and analysis
  • Comprehensive grasp of data visualization methods and data modeling for effective database architecture to streamline business analysis and reporting
  • SSMS, ETL Tooling, Reporting experience such as Power BI or equivalent tools
  • In-depth understanding of data management (e.g. permissions, recovery, security, and monitoring)
  • Broad business experience with proficient ability to talk in business terms
  • Excellent verbal and written communication skills