Sr. Data Engineer (Remote)
Sr. Data Engineer (Remote)
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Salary Not Disclosed
1 Vacancy
Job Description
We are currently seeking a Sr. Data Engineer to join our team. In this role you will enable and enhance data insights for internal stakeholders with significant overlap and collaboration across teams. You will also implement data quality observability and lineage frameworkscreating monitoring alerting and automated remediation for pipeline failures. The position also involves data cleanup requirements gathering data modeling and transformation report and dashboard creation and data mining and analytics on complex datasets. Applicants should have a solid grounding in data security privacy and governance. The ideal candidate brings 5 years of hands-on data engineering experience including ownership of mission-critical pipelines in production.
A day on the job looks like this:
- Design build and own production data pipelines with tools such as Apache Airflow Matillion and SSIS ensuring robust orchestration auto scaling and fault tolerance
- Integrate data across heterogeneous systems (ERP CRM e-commerce IoT and third-party APIs) using REST/GraphQL Kafka CDC tools SFTP and event-streaming patterns
- Develop and evolve our data foundation (Redshift SQL Server) architectures for both batch and real-time use cases
- Collaborate with Analytics BI and Data Science teams to deliver reusable semantic models powering Qlik Power BI and Excel
- Champion engineering excellence: CI/CD for data code infrastructure-as-code (Terraform/CDK) Git-based workflows and peer code reviews
- Perform root-cause analysis and optimization of SQL Python and integration workflows
- Partner closely with platform security and DevOps teams to align on best practices for governance cost control and compliance
- Ensure reliability and performance of data pipelines by monitoring orchestration workflows and conducting root cause analysis of failures and performance issues. This includes proactively identifying bottlenecks and implementing alerts and recovery strategies to minimize data disruptions
Qualifications :
Got the skills and experience Heres what were looking for:
- 5 years of hands-on data engineering experience including ownership of mission-critical pipelines in production
- Experience designing dimensional and domain-driven data models to support BI and self-service analytics
- Deep expertise with SQL (T-SQL Redshift SQL) and performance tuning for large-scale analytics workloads
- Hands-on experience with Git for version control and GitHub Actions for CI/CD automation
- Demonstrated ability to lead projects influence cross-functional stakeholders and elevate engineering standards through partnership and collaboration
- Proven mastery of modern ETL/ELT and orchestration frameworks (Airflow AWS Glue Matillion and SSIS) and at least one cloud platform (AWS strongly preferred)
- Strong understanding of integration patternsbatch streaming CDCand technologies such as Kafka Kinesis Debezium or Azure Event Hubs
- Proficiency in Python (Pandas PySpark) for data transformation and automation; familiarity with Scala or Java is a plus
- Solid grounding in data security privacy and governance (encryption IAM RBAC PII handling and GDPR/CCPA awareness)
Additional Information :
And heres our end of the bargain!
At Lakeshore we pay local market wages for employees that reside within Los Angeles and Orange Counties. For employees residing outside of Los Angeles and Orange Counties pay is based on national market.
For this position new employees joining Lakeshore are typically brought into the organization at a salary rate between $102500 - $143500 depending on relevant experience & skillset.
This range is indicative of projected hiring range. The annual base compensation will take into account each candidates relevant experience location and skillset.
- Bonus eligible
- Paid leave for new parents to support work/life balance and family bonding
- Excellent medical/dental and vision coverageEPO PPO and HSA
- 401(k) retirement plan with company contribution (because you will retire someday)
- Flexible benefitschoose what you like ignore the rest
- On-site preschool for our employees children
- On-site employee gym for all levels/fitness needs
- Generous employee discount
- Casual dressand we really mean it
At Lakeshore we know our diversity makes us stronger and when everyone feels included and valued we all win. We strive to embrace our differences and create an intentionally diverse and inclusive community that is representative of the teachers families and children we serve.
We know we couldnt do the extraordinary things were doing without the people on our team. Thanks to the passion and enthusiasm of this spectacular group Lakeshore is more than a great place to workits a great experience to be part of. Day in and day out we give everything weve got to create products that instill a sense of wonder and foster a true love of learning. To help maintain this high bar for success were constantly on the lookout for people to join us. So if youre a down-to-earth professional who shares our desire for making a difference wed love to hear from you.
To learn more about Lakeshore visit Employment Opportunity Policy
People are selected to become members of the Lakeshore family based on skill merit and mind-boggling talentnot based on race color creed sexual orientation gender or gender identity marital status domestic partnership status military status religion age national origin ancestry alienage AIDS or AIDS-related complex status genetic information predisposition or carrier status status as a victim of domestic violence physical or mental disability or any other characteristic protected by applicable law. If things arent equal we all lose.
To learn about how we collect and use Applicant information please visit our Employee/Applicant Privacy Policy. INDRLL1
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
