Sr. Data Engineer

Position Summary:
The Big Data Engineer is responsible for expanding and optimizing the data and data flow architecture for the company’s business intelligence ecosystem. This role will support the team’s business intelligence initiatives by provisioning necessary data across a variety of data sources and ensuring optimal data delivery for consumption within the company’s business intelligence platform. This role will be responsible for designing, constructing, and supporting a scalable business intelligence data platform, including appropriate data governance & management processes and tools. The right candidate will be excited by the prospect of optimizing or even re-designing the company’s data architecture to support ongoing and future products and data initiatives.

Primary Accountabilities:

• Data Engineering

  • Design, construct, test, and maintain an optimal data pipeline architecture for company’s business intelligence ecosystem.

  • Assemble large, complex data sets from a variety of sources into functional business schemas that can be leveraged by business intelligence developers, data scientists, and company business/data analysts.

  • Identify, design, and implement internal data process improvements (e.g. automating manual processes, optimizing data delivery, re-designing processes for greater scalability)

  • Collaborate with business stakeholders, team members, and customers to assist with data-related technical issues and support their data infrastructure needs.

  • Collaborate with Software Engineering, Data Management, and Server/NetSec teams to procure and maintain necessary business intelligence platform infrastructure.

  • Work effectively in a self-organizing team that supports multiple business units and products.

  • Participate in prioritization and grooming sessions with business stakeholders.

  • Maintain in-depth knowledge of supported company products and offerings, including associated databases and other data sources.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field

• 5+ years of experience in data engineering, with expertise in SQL, BigQuery, and GCP.

• Strong experience with Apache Iceberg, Starburst, and Trino for large-scale data processing.

• Proven track record of designing and optimizing ETL/ELT pipelines and cloud-based data workflows.​​​

Technical Skills:

• Proficiency in SQL, including query optimization and performance tuning.
• Experience working with BigQuery, Google Cloud Storage (GCS), and GCP data services.
• Knowledge of data lakehouse architectures, data warehousing, and distributed query engines.
• Hands-on experience with Apache Iceberg for managing large-scale transactional datasets.
• Expertise in Starburst and Trino for federated queries and cross-platform data access.
• Familiarity with Python, Java, or Scala for data pipeline development.
• Experience with Terraform, Kubernetes, or Airflow for data pipeline automation and orchestration.

Preferred Skills:

• Understanding of machine learning data pipelines and real-time data processing.

• Experience with Looker for data modeling and visualization

• Experience with data governance, security, and compliance best practices.

• Exposure to Kafka, Pub/Sub, or other streaming data technologies.

• Familiarity with CI/CD pipelines for data workflows and infrastructure-as-code

Individual Competencies:

• Analytical and Critical Thinking: Ability to tackle a problem by using a logical, systematic, sequential approach.
• Problem Solving: Gathers and analyzes information to generate and evaluate potential solutions to problems, issues and challenges while weighing the accuracy and relevance of the facts, data and information.
• Intellectual Curiosity: Exploring new and unique ways to solve business intelligence data pipeline and platform opportunities. Thinking ahead and planning for the future through innovative exploration and experimentation.
• 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.

While performing the duties of this job, the associate is: 

• Regularly required to use hands to finger, handle or feel objects, tools or controls, and reach with hands or arms.
• Regularly required to talk or hear and read instructions on a computer monitor and/or printed on paper.
• Occasionally required to stand, kneel or stoop, and lift and/or move up to 25 pounds.
• Regularly required to view items at an extremely close range and must be able to adjust and readjust focus.
• Occasionally: Job requires this activity up to 33% of the time

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.

Eligible associates have access to:

• 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, including Maternity, Adoption, and Parental Leave

• Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning

• Wellness and Mental Health counseling services

• Concierge and work/life support resources

• Adoption Assistance Reimbursement

• Perks and discount programs

Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms.

We are an Equal Opportunity Employer, including disability/vets.

This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.