Mindlance · 18 hours ago
Technology and Operations - Data Engineer IV
Mindlance is focused on evolving how finance, business, and technology collaborate through integrated, intelligent, scalable solutions. The Senior Data Engineer will play a hands-on role in ensuring data pipelines, integrations, and services are performant, reliable, and reusable, while partnering with various teams to deliver governed, AI/ML-ready data products.
Human Resources
Responsibilities
Design & Build Scalable Data Pipelines
Lead development of batch and streaming pipelines using AWS-native tools (Glue, Lambda, Step Functions, Kinesis) and modern orchestration frameworks
Implement best practices for monitoring, resilience, and cost optimization in high-scale pipelines
Collaborate with architects to translate canonical and semantic data models into physical implementations
Enable Analytics & AI/ML Workflows
Build pipelines that deliver clean, well-structured data to analysts, BI tools, and ML pipelines
Work with data scientists to enable feature engineering and deployment of ML models into production environments
Ensure Data Quality & Governance
Embed validation, lineage, and anomaly detection into pipelines
Contribute to the enterprise data catalog and enforce schema alignment across pods
Partner with governance teams to implement role-based access, tagging, and metadata standards
Mentor & Collaborate Across Pods
Guide junior data engineers, sharing best practices in pipeline design and coding standards
Participate in pod ceremonies (backlog refinement, sprint reviews) and program-level architecture syncs
Promote reusable services and reduce fragmentation by advocating platform-first approaches
Qualification
Required
Experience in data engineering, with hands-on expertise in AWS services (Glue, Kinesis, Lambda, RDS, DynamoDB, S3) and orchestration tools (Airflow, Step Functions). 7+ years of experience
Strong skills in SQL, Python, PySpark, and scripting for data transformations. 7+ years of experience
Experience working with modern data platforms (Snowflake, Databricks, Redshift, Informatica). 7+ years of experience
Strong collaboration and mentoring skills; ability to influence across pods and domains
Knowledge of data governance practices, including lineage, validation, and cataloging
Proven ability to optimize pipelines for both batch and streaming use cases
Company
Mindlance
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services
H1B Sponsorship
Mindlance 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 (71)
2024 (53)
2023 (37)
2022 (72)
2021 (36)
2020 (40)
Funding
Current Stage
Late StageLeadership Team
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