150 applicants

Company

Original Job Post

Dataiku · 3 days ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

$140K/yr - $170K/yr

6+ years exp

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Responsibilities

Be an expert level engineer within the Dataiku Platform

Be an expert level engineer within Snowflake for data engineering and security/governance features

Build & maintain python & SQL data replication & data pipelines on large & often complex data sets

Build & maintain data quality metrics & observability to help drive data quality standards

Design data models for both short term and long term use cases to support data warehouse scalability

Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

Identify opportunities for improvements & optimization for greater scalability & delivery velocity

Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

Perform root cause analysis on often complex errors to help ensure data pipeline availability

Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models

Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

Promote the Data Platform internally, help train & mentor others within the organization with technical excellence, & provide support on data & platform related inquiries

Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team, or company as a whole

Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLPythonDataiku DSSSnowflakeDevOps technologiesGithub ActionsAzure DevOpsJenkinsData architectureData modelingCloud Data WarehouseData PipelinesReplicationData LakeStakeholder ManagementProject ManagementDocumentationProblem-SolvingAnalyticalCreativeCommunicationTime ManagementAdaptabilityLeadership

Required

6+ years of relevant experience in Data Engineering / Data Platform Engineering /Data Architecture

Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus.

Prior experience with Snowflake strongly desired

Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

Strong understanding of data architecture & data modeling concepts

Location: Must be currently located within the EST or CST regions of the EST. Open for candidates based in the UK, if they have the right skillset.

Preferred

Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Company

Dataiku

Glassdoor

3.6

Dataiku operates as an enterprise artificial intelligence and machine-learning platform.

Founded in 2013

Paris, Ile-de-France, FRA

1,001-5,000 employees

http://www.dataiku.com

H1B Sponsorship

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