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Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.
Top Skills:
AWSDatastageDb2ETLJavaManaged ServicesOracle BiPythonQlikviewRedshiftSlasSQL ServerWorkload Orchestration And Scheduling
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead data engineering engagements to design, build, and maintain ETL/ELT pipelines and cloud data architectures. Manage client accounts and mentor teams, leverage tools like DataStage, AWS/Redshift, DB2/SQL Server, GoldenGate, and BI/visualization platforms to deliver analytics, performance tuning, and scalable reporting solutions.
Top Skills:
AWSBirtCdcDatastageDb2Etl/EltGlueGoldengateJavaPythonQlikviewRedshiftS3SpotfireSQL Server
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and operate scalable, secure cloud-based data platforms and pipelines across the full data engineering lifecycle. Instrument and monitor pipelines, optimize performance, troubleshoot production issues, reduce technical debt, drive cloud and open-source adoption, and maintain documentation and governance for federal and military healthcare data solutions.
Top Skills:
AzureCi/CdDevOpsGoogle Cloud Platform (Gcp)OraclePostgresSQLSQL Server
Help empower our global customers to connect to culture through their passions.
Why you'll love this role
As a Senior Data Engineer, you will be empowered to leverage data to drive amazing customer experiences and business results. You will own the end to end development of data engineering solutions to support analytical needs of the business. The ideal candidate will be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions at speed. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with analysts, data scientists and business stakeholders.You will partner with accounting and finance business teams in expanding Financial Data Repository to support new business initiatives. Sr Data Engineer of Finance Data Repository is most challenging and exciting role to work for, with new business initiative launches in payments, finance , tax and ordering platform. Its highly critical to manage the changes on daily basis for proper accounting to keep our books clean and accurate.
What you'll do
- Design and build mission critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation
- Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders
- Build and support reusable framework to ingest, integration and provision data
- Automation of end to end data pipeline with metadata, data quality checks and audit
- Build and support a big data platform on the cloud
- Define and implement automation of jobs and testing
- Optimize the data pipeline to support ML workloads and use cases
- Support mission critical applications and near real time data needs from the data platform
- Capture and publish metadata and new data to subscribed users
- Work collaboratively with business analysts, product managers, data scientists as well as business partners and actively participate in design thinking session
- Participate in design and code reviews
- Motivate, coach, and serve as a role model and mentor for other development team associates/members that leverage the platform
About you
- 5 to 7 years experience in data warehouse / data lake house technical architecture
- 3+ years of experience in using programming languages (Python / Scala / Java / C#) Minimum
- 3 years of Big Data and Big Data tools in one or more of the following: Batch Processing (e.g. Hadoop distributions, Spark), Real time processing (e.g. Kafka, Flink/Spark Streaming)
- Minimum of 2 years' experience with AWS or engineering in other cloud environments
- Strong Knowledge of Databricks SQL/Scala - Data Engineering Pipelines
- Experience with Database Architecture/Schema design
- Strong familiarity with batch processing and workflow tools such as dbt, AirFlow, NiFi
- Ability to work independently with business partners and management to understand their needs and exceed expectations in delivering tools/solutions
- Strong interpersonal, verbal and written communication skills and ability to present complex technical/analytical concepts to executive audience
- Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Bachelor's degree in Computer Science, or a related technical field
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
Pursuant to the Colorado Fair Pay Act, the base salary range in Colorado for this position is $140,000 to $160,000, plus opportunities for benefits (e.g., medical, dental), equity and discretionary bonuses. Compensation in other geographies may vary.
About StockX
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
