Data Engineer - Onsite in NYC
New York City
Bounteous
We co‑innovate with the world’s most ambitious brands to create transformative digital experiences. Learn more about our work and our unique co-innovation model.Bounteous x Accolite brings together 5000+ employees spanning North America, APAC, and EMEA, and partnerships with leading technology providers. Through advanced digital engineering, technology solutions, and data-driven digital experiences, we create exceptional and efficient business impact and help our clients win.
Role: Data EngineerLocation: NYCFulltime. Responsibility● Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies● Evaluate, select and acquire new internal & external data sets that contribute to business decision-making.● Engineer streaming data processing pipelines.● Drive adoption of Cloud technology for data processing and warehousing (AWS ,Azure).● Engage with data consumers and producers in order to design appropriate models to suit all needs. Skills and Experience we are looking for● 8 - 11 years (expert) / 11+ years (advanced) of relevant work experience in a team-focused environment● A bachelor’s degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)● Working knowledge of more than one programming language (Python, Java, C , C#, etc.)● Deep understanding of multi multi-dimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes● In-depth knowledge of relational and columnar SQL databases, including database design● General knowledge of business processes, data flows and the quantitative models that generate or consume data● Excellent communications skills and the ability to work with subject matter expert to extract critical business concepts● Independent thinker, willing to engage, challenge or learn● Ability to stay commercially focused and push for quantifiable commercial impact● Strong work ethic, a sense of ownership and urgency● Strong analytical and problem-solving skills● Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner● Strong understanding of data structure and algorithms● Functional knowledge of buy-side business is good to have● Working with data pipes from Bloomberg, Reuters, Fact set etc. is good to have. Preferred Qualifications● Hadoop, HBase, spark, Apache Arrow, data streaming● Custom Data Catalog, Airflow, Grafana, Iceberg, Fast API, Python● Scraping large-scale public datasets in real time● Building and maintaining large-scale high performance computing applications
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Research shows that women and other underrepresented groups apply only if they meet 100% of the criteria of a job posting. If you have passion and intelligence, and possess a technical knack (even if you’re missing some of the above), we encourage you to apply.
Bounteous is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.
In addition, you have the opportunity to participate in several Team Member Networks, sometimes referred to as employee resource groups (ERGs), that host space with individuals with shared identities, interests, and passions. Our Team Member Networks celebrate communities of color, life as a working parent or caregiver, the 2SLGBTQIA+ community, wellbeing, and more. Regardless of your respective identity, there are various avenues we involve team members in the Bounteous community.
Bounteous is willing to sponsor eligible candidates for employment visas.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Arrow AWS Azure Computer Science Data management Data quality Engineering Grafana Hadoop HBase HPC Java Mathematics Pipelines Python Research Security Spark SQL Streaming
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