About
As a Senior Data Engineer, you will play a critical role in shaping the architecture, implementation, and reliability of our cloud-native data platforms. You'll be responsible for designing and developing scalable data solutions that support analytics, automation, and business operations across Inmar. You will work with a modern tech stackincluding BigQuery, Airflow, Python, and Pub/Subwithin a Google Cloud Platform (GCP) environment, building pipelines that are secure, cost-effective, and observable. This role is ideal for someone who thrives on solving complex data challenges, mentoring junior engineers, and delivering high-impact, production-grade solutions, while collaborating cross-functionally across teams. Primary Responsibilities: Technical (100%) Design, build, and optimize scalable, secure, and observable data pipelines using tools like BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Airflow (Composer). Translate technical concepts into clear, actionable plans for technical and non-technical stakeholders. Conduct data profiling and source system analysis to design reliable ingestion and transformation processes. Build reusable, automated frameworks that support batch and streaming workflows, while continuously evaluating new tools and patterns to improve performance, reliability, and cost. Ensure data solutions align with enterprise standards, security policies, and compliance requirements (e.g., HIPAA, CCPA). Design and maintain data models that support OLTP, OLAP, and ML use cases. Implement and maintain metadata management, data lineage, and impact analysis practices. Own production issues end-to-end, including root cause analysis (RCA) and resolution with preventative improvements. Collaborate in Agile environmentscontributing to sprint planning, backlog refinement, and iterative delivery. Provide mentorship and technical guidance to junior engineers through code reviews, knowledge sharing, and design discussions. Education / Qualifications / Experience B.S. in Computer Science, Information Systems, or related field required, or 8+ years equivalent experience in data engineering. Proven experience designing, building, and optimizing cloud-native, scalable, cost-efficient data pipelines and architectures, particularly on Google Cloud Platform (preferred); familiarity with AWS or Azure is a plus. Advanced skills in Python and SQL, familiarity with dbt, Airflow, Terraform, CI/CD pipelines. Experience with batch and streaming technologies such as Kafka, Spark, Dataflow, and Pub/Sub. Expertise with GCP-native tools such as BigQuery, Cloud Functions, Cloud Workflows, GCS, and Datastream. Skilled at balancing performance, reliability, and cost. Demonstrated ability to implement automated monitoring, alerting, and data quality checks for production-grade data pipelines. Experience with relational and NoSQL databases, such as Postgres, SQL Server and Cassandra. Practical knowledge of data modeling and design for OLTP, OLAP, and real-time systems to support analytics, operations, and ML use cases. Familiarity with AI/ML workflows, including feature engineering, model training, and real-time inference; experience with Vertex AI or similar platforms is a plus. Exposure to enterprise SaaS and ERP integrations (e.g., Oracle Cloud ERP, Salesforce, Workday, Ironclad, Replicon) and partnerships with external data vendors. Understanding of data governance practices, including lineage, metadata, access controls, and privacy compliance (e.g., HIPAA, CCPA, etc.). Comfortable working in Agile/Scrum environments, contributing to iterative delivery, sprint planning, and technical scoping. Proven ability to work cross-functionally with data analysts, product managers, privacy, security, and business teams to deliver trusted, actionable data products. Strong problem-solving skills with experience in root cause analysis, writing postmortems, and driving incident resolution and continuous improvement in data platforms. Individual Competencies Integrity: Builds trust by taking ownership of actions, following through on commitments, and communicating with transparency. Technical Mentorship: Supports the growth of junior engineers by sharing knowledge, providing guidance on design and implementation, and fostering a collaborative, learning-focused environment. Team Collaboration: Works cross-functionally to align data engineering solutions with business and technical goals. Builds strong partnerships across product, data governance, and analytics teams. Adaptability: Embraces change and innovation with a growth mindset. Adjusts approach as priorities and technologies evolve. Innovation: Identifies and drives opportunities to improve tools, processes, or architecture through new technologies and creative problem-solving. Curiosity: Actively seeks to understand new data domains, technologies, and stakeholder needs. Continuously develops personal and team knowledge. Analytical Thinking: Breaks down complex systems and problems into manageable components. Makes decisions based on data and structured reasoning. Problem Solving: Investigates and resolves complex technical issues efficiently and thoughtfully, balancing long-term and short-term solutions. Physical Demands The physical demands described here are representative of those that must be met by an associate to successfully perform the major job responsibilities (essential functions) of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major job responsibilities. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Use Hands to Handle Objects - Regularly
Reach with Hands or Arms - Regularly
Talk or Hear and Read Instructions - Regularly
Stand, Kneel, or Stoop and Lift 20 Pounds - Occasionally
View Items at a Close Range - Regularly
Individual Competencies Integrity:
Able to communicate well in straight-forward situations.
Teamwork:
Advanced communication skills used to lead a team.
Adaptable:
Arrives at a conclusion based on previous experiences and good judgment.
Innovative:
Arrives at decision using analytical thought.
Curious:
Assesses circumstances using experience and a variety of information gathered.
Analytical and Critical Thinking:
Communicates using persuasion and authority.
Problem Solving:
Completes routine and repetitive tasks where tasks are straightforward.
As an Inmar Associate, you: Put clients first and consistently display a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients in order to meet their short-term and long-term needs, requirements and exceed their expectations.
Treat clients and teammates with courtesy, consideration and tact; you also have the ability to perceive the needs of internal and external clients and communicate effectively with the objective of delighting and retaining the client.
Build collaborative relationships and work cooperatively with others, inside and outside the organization, to accomplish objectives, develop and maintain mutually beneficial partnerships, leverage information and achieve results.
Set and attain achievable, yet aggressive, goals with a sense of urgency and accountability.
Understand that results are important and focus on turning mission into action to achieve results following the principles of Flawless Execution while consistently complying with quality, service and productivity standards to meet deadlines and exceed expectations by giving our clients the best possible outcome.
Support a safe work environment by following safety rules and regulations and reporting all safety hazards.
At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages. Medical, Dental, and Vision insurance
Basic and Supplemental Life Insurance options
401(k) retirement plans with company match
Health Spending Accounts (HSA/FSA)
We also offer: Flexible time off and 11 paid holidays
Family-building benefits,
Languages
- English
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