132 applicants
Tatari · 2 days ago
Senior Data Engineer
New York, NY
Full-time
Hybrid
Senior Level
$170K/yr - $210K/yr
6+ years exp
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Responsibilities
Building, managing and optimizing data infrastructure, designing and developing data pipelines, and ensuring the reliability and scalability of data systems.
Data Infrastructure Design: Designing and implementing scalable, efficient, and reliable data infrastructure, including data storage, processing, and retrieval systems.
Data Pipeline Development: Developing and maintaining robust and efficient data pipelines to ingest, transform, and deliver data from various sources to data storage and analytical systems.
Data Modeling and Architecture: Designing and implementing data models and database schemas that support efficient data storage, retrieval, and analysis.
ETL (Extract, Transform, Load) Processes: Building and maintaining ETL processes to extract data from different sources, transform it into a suitable format, and load it into data storage systems.
Performance Optimization: Identifying and resolving performance bottlenecks in data pipelines and database systems. Tuning and optimizing queries, indexes, and data storage configurations to improve overall system performance.
Collaboration and Leadership: Collaborating with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data requirements and provide them with the necessary infrastructure and tools. Mentoring and providing technical guidance to junior data engineers.
Monitoring and Troubleshooting: Implementing monitoring systems and practices to ensure the availability and reliability of data systems. Proactively identifying and resolving issues and investigating data-related incidents or anomalies.
Technology Evaluation and Implementation: Keeping up with the latest trends and technologies in the data engineering field. Evaluating and recommending new tools, frameworks, and technologies to improve data engineering processes and efficiency.
Qualification
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Required
6+ years of experience working in data architecture, data modeling, and building data pipelines & distributed systems at scale.
Recent accomplishments working with relational and NoSQL data stores, methods, and approaches (STAR, Dimensional Modeling).
2+ years of experience with a modern data stack (Kafka, Spark, Airflow, lakehouse architectures, real-time databases, dbt, etc.) and cloud data warehouses such as RedShift, Snowflake.
Cloud Computing Platforms: Familiarity with cloud computing platforms like Amazon Web Services (AWS) and proficiency in leveraging cloud-based services for data storage, processing, and analytics, such as Amazon S3, EC2, and Lambda.
Strong Technical Background: Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL).
Problem-solving and analytical thinking: Ability to identify and troubleshoot data-related issues, optimize systems, and propose innovative solutions.
Communication and Collaboration: Excellent communication skills to effectively collaborate with cross-functional teams, stakeholders, and business users and ability to explain technical concepts to non-technical audiences and translate business requirements into technical solutions.
Leadership and Mentoring: Experience in providing technical guidance, mentoring junior data engineers, and leading data engineering initiatives and ability to drive projects, prioritize tasks, and manage timelines.
Benefits
Equity compensation
100% health insurance premium coverage for you and your dependents
Unlimited PTO and sick days
Snacks, drinks, and catered lunches at the office
Team building events
$1000 annual continued education benefit
$500 WFH reimbursement
$125 pre-tax monthly stipend to spend on whatever you want
Annual mental health awareness app reimbursement
FSA and commuter benefits
Monthly Company Wellness Day Off
Company
Tatari
Tatari is a data & analytics company focused on buying and measuring advertising across linear and streaming TV.
51-200 employees
H1B Sponsorship
Tatari 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
Trends of Total Sponsorships
2023 (3)
2021 (3)
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
unknown2019-01-01Series Unknown· Undisclosed
2016-11-26Convertible Note· Undisclosed
Leadership Team
Mike Swinson
Co-Founder and Chief Data Scientist
Amit Sharan
SVP of Marketing
Recent News
2024-04-16
2024-03-21
Company data provided by crunchbase
