Anblicks · 8 hours ago
Sr. Data Engineer
Anblicks is a company seeking a Sr. Data Engineer to lead data engineering projects. The role involves designing and developing scalable data pipelines and ensuring best practices in data governance and compliance.
AnalyticsFinancial ServicesHealth CareRetailSoftware
Responsibilities
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related quantitative field
12+ years of progressive experience in data engineering, including 3–5+ years in a technical lead or senior engineering role
Extensive hands-on experience with Snowflake and ETL tools (SnapLogic) in large-scale, production-grade environments, including architecture design and optimization
Expert-level proficiency in SQL, including complex query design, performance tuning, cost optimization, and query profiling
Deep expertise in data warehousing and modeling concepts, including dimensional modeling, CDC (Change Data Capture), SCD Types, and data vault–style patterns
Proven experience leading the design, development, and deployment of scalable, cloud-native data pipelines(ETL/ELT) supporting enterprise analytics and reporting
Demonstrated ability to define data engineering standards, best practices, and reusable frameworks across teams
Strong knowledge of data governance, security, privacy, and compliance, including role-based access, data classification, and auditability
Proven experience mentoring junior engineers, conducting code/design reviews, and guiding teams toward scalable and maintainable solutions
Excellent problem-solving and analytical skills, with the ability to make architectural decisions under ambiguity
Strong communication and stakeholder management skills, with the ability to translate business requirements into technical solutions
Ability to own end-to-end data initiatives, work independently, and lead teams effectively in a fast-paced, Agile environment
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative field
12+ years of progressive experience in data engineering, including 3–5+ years in a technical lead or senior engineering role
Extensive hands-on experience with Snowflake and ETL tools (SnapLogic) in large-scale, production-grade environments, including architecture design and optimization
Expert-level proficiency in SQL, including complex query design, performance tuning, cost optimization, and query profiling
Deep expertise in data warehousing and modeling concepts, including dimensional modeling, CDC (Change Data Capture), SCD Types, and data vault–style patterns
Proven experience leading the design, development, and deployment of scalable, cloud-native data pipelines(ETL/ELT) supporting enterprise analytics and reporting
Demonstrated ability to define data engineering standards, best practices, and reusable frameworks across teams
Strong knowledge of data governance, security, privacy, and compliance, including role-based access, data classification, and auditability
Proven experience mentoring junior engineers, conducting code/design reviews, and guiding teams toward scalable and maintainable solutions
Excellent problem-solving and analytical skills, with the ability to make architectural decisions under ambiguity
Strong communication and stakeholder management skills, with the ability to translate business requirements into technical solutions
Ability to own end-to-end data initiatives, work independently, and lead teams effectively in a fast-paced, Agile environment
Company
Anblicks
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H1B Sponsorship
Anblicks 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 (42)
2024 (33)
2023 (32)
2022 (57)
2021 (48)
2020 (61)
Funding
Current Stage
Late StageRecent News
Company data provided by crunchbase