Inmar is looking for a Data Engineer to design and lead the implementation of data flows that connect operational systems to analytic and business intelligence platforms. You will work within a multidisciplinary team to build scalable, resilient data solutions.
What You'll Do
- Design and lead implementation of data flows for analytic and business intelligence systems.
- Recognize opportunities to re-use existing data flows.
- Lead the building of data streaming systems.
- Optimize code to ensure processes perform optimally.
- Lead routine work on database management.
- Understand information security and security controls to mitigate threats.
- Translate and communicate across technical and non-technical stakeholders.
- Advocate for the team externally and manage differing perspectives.
- Undertake data profiling and source system analysis to present insights.
- Participate in the design, building and testing of data products.
- Work with teams to complete data integration services.
- Assist with selecting and implementing technologies for resilient, scalable data solutions.
- Understand concepts of data modeling and produce relevant data models.
- Reverse engineer data models from a live system.
- Understand and apply industry recognized data modeling patterns and standards.
- Understand the impact of emerging trends in data tools and analysis.
- Design an appropriate metadata repository and present changes.
- Provide oversight and advice to more inexperienced team members.
- Own an issue until resolved or a new owner is found.
- Initiate and monitor actions to investigate and resolve problems.
- Design, code, test, correct and document moderate to complex programs and scripts.
- Take inputs and establish coherent frameworks that work.
- Apply core technical concepts related to the role.
- Review requirements and define test conditions; identify issues and risks.
- Support a safe work environment by following safety rules and reporting hazards.
What We're Looking For
- Bachelor of Science Degree in Computer Science, or a Bachelor of Arts Degree in a related technical field.
- 5-10 years related work experience in data engineering or a similar role.
- Or any equivalent combination of experience and training/certification in platform maintenance and development.
- Experience building and optimizing big data pipeline architectures and data sets.
- Experience with object oriented/object function scripting languages such as Scala and/or Python.
- Experience with public cloud technologies in Google (preferred), AWS and Azure.
- Experience with relational and NoSQL databases such as SQL Server, Postgres, Cassandra, etc.
- Working knowledge of message queuing, stream processing and highly scalable big data stores.
- Experience with financial/ERP systems such as Oracle Cloud ERP.
- Experience with big data applications such as Hadoop, Spark, Kafka, etc.
- Built processes that support data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulation, processing and extracting value from data sets.
- Familiarity with Agile methodologies and development processes.
- Performed root cause analysis on data and processes to answer business questions and identify improvements.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Experience with data pipeline and workflow management tools such as Airflow.
Nice to Have
- Experience with Google Cloud (preferred).
Technical Stack
- Languages: Scala, Python
- Cloud: Google Cloud, AWS, Azure
- Databases: SQL Server, Postgres, Cassandra, Oracle Cloud ERP
- Big Data Tools: Hadoop, Spark, Kafka, Airflow
Team & Environment
Works within a multidisciplinary team.
Benefits & Compensation
- Medical, Dental, and Vision insurance
- Basic and Supplemental Life Insurance options
- 401(k) retirement plans with company match
- Health Spending Accounts (HSA/FSA)
- Flexible time off and 11 paid holidays
- Family-building benefits, including Maternity, Adoption, and Parental Leave
- Tuition Reimbursement and certification support
- Wellness and Mental Health counseling services
- Concierge and work/life support resources
- Adoption Assistance Reimbursement
- Perks and discount programs
- Annual discretionary bonuses through Core Company Performance Bonus Plan
- Equity grants, sign-on bonuses, and other tailored incentive opportunities
- Additional discretionary compensation, such as Growing Revenue Incentives, Safety Bonuses, Deferred compensation opportunities
- Compensation Range: $94,160.00 - $141,240.00 USD Annual + equity grants.
We are an Equal Opportunity Employer, including disability/vets.
