CITIZENSHIP REQUIREMENT: Must be US Citizen or Legal/Permanent resident (Green Card) preferred. Our client can accept H1B Visa transfers but will not take those on an OPT.
TITLE: Senior Data Engineer
LOCATION: Calabasas, Ca 91301
SCHEDULE: Hybrid
Eligible for a hybrid work schedule split between home & office, with a minimum of 3 days in the office each week.
SALARY: $145K – $156K
REPORTS TO: Data Engineering Manager
TEAM SIZE: 3 Data Engineers and growing
EXCITING PROJECTS COMING UP: Rewards Project
INDUSTRY: Retail/ Restaurant, etc.
Position Overview:
We are looking for somebody with a stable, established employment history. The Senior Data Engineer is a new role and will be an integral part of the integrations team within our client’s Information Technology department. You will have the responsibility to design, develop, support, and optimize data pipelines and architectures using modern iPaaS solutions and other cloud-based data processing and storage solutions. You will collaborate with various stakeholders to identify data needs and utilize best practices to integrate with disparate systems for data sharing.
You’ll thrive in this position if you are:
Deadline Driven: You understand that deliverables are due by a specific date and time, and your time management and work ethic gets you there with ease.
A Team Player: You’re a collaborative team player who shows respect for the views and contributions of others while building team spirit across the department.
Highly Organized: In a dynamic work environment with many moving parts, you easily prioritize your responsibilities while maintaining deadlines.
Adaptable: You’re at ease in a fast-paced environment and you’re able to change direction rapidly when priorities, deadlines, or personalities shift.
Accountable/Responsible: You’re able and willing to take initiative and ownership for getting things done (within a supportive team environment).
Here’s more of what you’ll get to do:
Design, develop, and maintain scalable, fault-tolerant data pipelines using ETL/ELT frameworks to support ingestion, transformation, and integration of structured and unstructured data.
Implement integration solutions with external systems via REST APIs, SOAP services, and message queues (e.g., RabbitMQ and Kafka) to enable real-time and batch data exchange.
Partner cross-functionally with Business Analysts, BI teams, and stakeholders to translate business requirements into technical designs, data contracts, and production-ready solutions.
Optimize and troubleshoot data systems (Azure SQL Database, Azure Data Factory, SSIS) for performance tuning, query optimization, and cost efficiency.
Design and implement robust data models for analytical and transactional systems ensuring referential integrity and scalability.
Implement best practices for data management, including data governance, security (RBAC, passwordless auth), compliance, and auditing using Azure Purview or similar tools.
Maintain comprehensive documentation of data workflows, architecture diagrams, and integration patterns.
Mentor and support junior engineers through code reviews, design guidance, and troubleshooting, helping raise overall engineering quality and delivery consistency.
Lead proofs of concept (POCs) and evaluate tools such as Snowflake, Databricks, and Airflow, providing recommendations to improve architecture, scalability, and operational maturity.
Leverage CI/CD pipelines for Azure Functions, Data Factory and SSIS using GitHub Actions to ensure automated deployments and version control.
Work with cloud-native storage and compute services (Azure Blob Storage, Data Lake Gen2, Functions, Logic Apps, SSIS, ADF) for scalable data processing and integration.
Develop automation scripts in Python and PowerShell for data processing, orchestration, and operational efficiency.
What we require:
5+ years of hands-on experience with Azure Data Factory, Azure SQL offerings, and SSIS.
Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field.
Proficiency in SQL, Python, stored procedures, and other data transformation techniques.
Expertise in optimizing SQL queries using query optimization techniques and other performance tuning strategies.
Scripting experience utilizing Python/PowerShell.
Experience with system design and data architecture, including scalable integration patterns.
Exposure to modern data platforms such as Databricks, Synapse, BigQuery, or Snowflake.
Experience with iPaaS tools (e.g., SnapLogic, TIBCO, Adeptia) and external system integrations.
Strong problem-solving and data debugging skills.
Demonstrated ability to learn and adapt to new technologies and methodologies.
Excellent communication skills and teamwork abilities.
What we prefer:
Restaurant industry experience.
Familiarity with other cloud-based technologies and services on Azure e.g. Logic Apps, Functions.
Experience building frameworks and utilities that standardize implementation of data quality, logging, monitoring etc.
Azure certifications e.g. Azure Fundamentals, Azure Data Fundamentals, Azure Data Engineer.
Experience mentoring engineers, setting standards, and contributing to technical roadmaps.
Please complete both the Application & Job Specific questions below.
Part 1 APPLICATION QUESTIONS (Please answer all questions) – you may also email answers to both sets of questions directly to [email protected] and [email protected]
Legal Name & Preferred Name or Nickname:
Best Contact Info (Cell & E-Mail):
Your Linked In:
Why looking for a new job:
Availability for interviews and start date:
Where do you live (City, State, Zip):
Desired geographical work location:
Are you open to 100% onsite, hybrid and/or remote:
Are you open to relocation if required:
Are you open to travel if needed and have an active passport if needed:
Are you authorized to work in US (Please indicate US, Permanent Resident Green Card or Other):
Do you hold Dual Citizenship:
Hourly/Salary Expectations: (We need a range) $
Sizes of staff managed and their titles (include # of direct reports):
Budgetary Responsibility: $
Education/Certs/Degrees (also indicate which certs are active):
Who Referred You/ How Did You Hear About Job/ DKKD Staffing:
PART 2 JOB SPECIFIC Q&A
Based on the must-have and preferred requirements in the job description, please provide answers to the questions above, as well as the following.
Please include your responses next to each question.
Provide your total years of experience, how recent your experience is, and any additional details that may strengthen your candidacy. Ensure your resume aligns with and supports your responses, particularly within your summary and recent employment history.
We are seeking a candidate with 5+ years of experience as a Data Engineer in an enterprise environment, with the following capabilities:
Please explain how many years of experience you have with Integrations Design and Development (ability to take business requirements and put them into system design, taking initiative and ownership of design, scalable, robust, long-term solutions) and how recent: (any elaboration would be helpful)
What data-based tools have you used:
How many years of experience Data Engineering and how recent?
Troubleshooting and debugging skills (any success stories):
How many years of experience and how recent is your experience with
Data Modeling and Optimization:
Continuous Learning and adaptability:
Systems: (Azure SQL, Azure Data Factory; SSIS, Scripting; Snaplogic – integration platform)
Functional and technical understanding of various data assets and pipelines:
Providing effective support for existing data processes – (200+ running at different cadences, supporting critical functions and stakeholders)
Do you have any restaurant or retail systems experience:
Join me on LINKED IN: LinkedIn.com/in/DianeKrehbiel
Southern California LEADERSHIP JOBS on Linked In: Diane Krehbiel Executive & Technology Recruiting (54) Diane Krehbiel Executive and Technology Recruiting aka DKKD Staffing (Westlake Village, Ca) | Groups | LinkedIn
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