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Expertise with data analysis tools (SQL, Python, Looker, etc.) Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field. Collaborate with analytics engineering and software engineering to continuously uplevel our data capabilities, making new data available as the business expands, and accelerate time to insights.
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Summary: Associate Data Engineer will be part of the Data Engineering/Technology organization building ETL pipelines for reporting and other analytics needs. 1-3 years of experience with ETL tools such as Azure Data Factory, Notebook, SQL, Python, SSIS.
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BS in Mathematics, Statistics, Computer Science, Engineering, Data Science, Analytics, or related field or advanced Degree (MS/MBA/PhD) preferred. Proven knowledge and experience developing data & analytic solutions with statistical software such as Python or R – required.
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The Data Architect will be responsible for setting standards around data modeling, data integration and data engineering best practices and data security design.
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The teams within USDS that deliver on this commitment daily span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Proficient in SQL, tableau and familiar with Python or R for modelling project.
$176,355 - $329,333 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Expertise: Provide hands-on guidance and expertise to the team in Python, SQL, and AWS cloud services, ensuring high-quality code and engineering best practices. As the Director of Data Engineering, you will play a critical role in leading and expanding our data engineering competency to ensure the highest quality, integrity, efficiency, and scalability of our data services and infrastructure.
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Product simulation and data analysis using a variety of software tools to support engineering validation and characterization, such as Matlab, Python, JMP, etc. You will collaborate with multi-functional teams, including Optical Engineering, Mechanical Engineering, Electrical Engineering, Reliability Engineering and Process Engineering to deliver innovative sensing solutions.
$138,900 - $256,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. Experience with data visualization (preferably Looker). This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
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IBM Data Stage, python, and Linux scripting, Migration of DataStage Jobs to Cloud. Requires a Bachelor's in Computer Science, Computer Engineering or related field and experience with ETL development, SQL, UNIX/Linux scripting, Big Data distributed systems.
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Experience using computer languages (e.g. Python, R, Pig, Java, C, SQL, ECL) to perform large scale parallel processing of data. Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field.
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Experience with common data languages (e.g., Python, Scala) and data warehouses (e.g., Redshift, BigQuery, Snowflake, Databricks) 1+ Creating large-scale data engineering pipelines and data-based decision-making tools in a cloud-based architecture.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. 10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering.
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We partner with our clients to modernize business operations with Microsoft-focused cloud transformation, custom software development, and data engineering. Strong experience with web development, with Python and PySpark.
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Strong technology proficiency in one or more of the following areas is highly desired: Aladdin technology suite, data model & data feed interaction, API's, industry technology (e.g. CNS, Swift, OMGEO), data and reporting toolsets (e.g. ADS/SQL, Microsoft Excel VBA/Macros, Power BI), Python, etc.
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5 or more years of experience in Data Engineering, ETL, Data Warehousing & Data Architecture, in RDBMS (must have) and NoSQL (bonus!) 2 or more years of scripting in Python / R or similar, with experience in API-based data queries.
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