Litmus7 · 1 week ago
Data Engineer - L3 - USA
Litmus7 is a company seeking a Data Engineer. The role involves supporting high-severity incidents, building and maintaining data pipelines, and collaborating with various teams to ensure data quality and performance.
E-CommerceInformation TechnologyInnovation ManagementIT InfrastructureRetailRetail TechnologySoftware Engineering
Responsibilities
Serve as L3 support: triage high-severity incidents, perform advanced debugging/root-cause analysis, deploy hotfixes, and create runbooks for L2 teams
Build and maintain batch/streaming data pipelines using ETL/ELT tools (dbt,) to integrate and transform multi-source data
Implement data quality validation, monitoring, alerting, and documentation; optimize pipelines for performance, cost, and reliability (partitioning, indexing, error handling)
Partner with analytics, data science, and business teams to deliver data requirements, troubleshoot issues, and ensure SLAs for freshness/completeness
Qualification
Required
8–10+ years data engineering experience in building and supporting production pipelines at scale
Strong SQL, Python/Scala for data processing; data modeling (dimensional schemas, SCDs)
Proven cloud data platform + orchestration experience (Snowflake/BigQuery + Airflow/dbt)
L3 support experience: incident management, on-call rotations, debugging distributed data systems
Company
Litmus7
Litmus7 is a Retail Maximization company specialized in accelerating digital revenue and profitability for Retailers, Brands and CPGs.
H1B Sponsorship
Litmus7 has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (37)
2024 (36)
2023 (26)
2022 (51)
2021 (45)
2020 (54)
Funding
Current Stage
Late StageRecent News
Company data provided by crunchbase