Senior Data Engineer

Posted 4 days agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 136000.0 - 190000.0 USD per year

🔍 Industry: Crypto

🏢 Company: Gemini👥 501-1000💰 $1,000,000 Secondary Market over 2 years ago🫂 Last layoff about 2 years agoCryptocurrency Web3 Financial Services Finance FinTech

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLApache AirflowCloud ComputingETLKafkaSnowflakeAlgorithmsData engineeringData StructuresCI/CDData modeling

Requirements:

5+ years experience in data engineering with data warehouse technologies
5+ years experience in custom ETL design, implementation and maintenance
5+ years experience with schema design and dimensional data modeling
Experience building real-time data solutions and processes
Advanced skills with Python and SQL are a must
Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
Experience with one or more ETL tools(Informatica, Pentaho, SSIS, Alooma, etc)
Strong computer science fundamentals including data structures and algorithms
Strong software engineering skills in any server side language, preferable Python
Experienced in working collaboratively across different teams and departments
Strong technical and business communication

Responsibilities:

Design, architect and implement best-in-class Data Warehousing and reporting solutions
Lead and participate in design discussions and meetings
Mentor data engineers and analysts
Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
Build real-time data and reporting solutions
Design, build and enhance dimensional models for Data Warehouse and BI solutions
Research new tools and technologies to improve existing processes
Develop new systems and tools to enable the teams to consume and understand data more intuitively
Partner with engineers, project managers, and analysts to deliver insights to the business
Perform root cause analysis and resolve production and data issues
Create test plans, test scripts and perform data validation
Tune SQL queries, reports and ETL pipelines
Build and maintain data dictionary and process documentation

Apply

Related Jobs

Apply

🔥 Senior Data Engineer - Delivery team

Posted 3 days ago

📍 United States, Canada

🔍 Software Development

🏢 Company: Overstory👥 1-10 E-Commerce

🔧 Requirements

Approximately 5 years of experience in Data Engineering with at least one experience in a startup environment
Product-minded and able to demonstrate significant impact you have had on a business through the application of technology
Proven experience of data engineering across the following (or similar) technologies: Python, data orchestration platforms (Airflow, Luigi, Dagster, etc…), data quality frameworks, data lakes/warehouses
Ability to design and implement scalable and resilient data systems
Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
Passion for learning and staying updated with evolving technologies and industry trends

💡 Responsibilities

Owning day-to-day operational responsibilities of deliveries our analysis to the customers
Developing data-driven solutions to customer problems that our products aren’t solving for yet
Building new and improving existing technologies such as:
Automation of the analysis for all customers, leading to faster implementation of Overstory’s recommendations
Metrics to identify what are the time bottlenecks in the current flow of analysis, therefore helping all Overstory teams identify areas of improvements
Visualization of status and progress of the analysis for internal use
Working on performance & scalability of our pipelines ensuring that our tech can handle our growth

PythonSQLCloud ComputingGCPAmazon Web ServicesData engineeringCommunication SkillsAnalytical SkillsRESTful APIsData visualizationData modeling

Posted 3 days ago

Apply

🔥 Senior Data Engineer

Posted 4 days ago

📍 United States, Canada

🧭 Full-Time

🔍 SaaS

🏢 Company: Mangomint👥 51-100💰 $35,000,000 Series B 6 months agoManagement Information Systems Beauty Software

🔧 Requirements

3+ years of experience in data engineering or a related role
Proficiency in SQL and Python for data pipelines and automation
Experience with dbt (or similar data modeling tools)
Familiarity with Snowflake (or other cloud data warehouses)
Knowledge of APIs and experience integrating various data sources
Experience with CRM and business systems (Salesforce, Outreach, Stripe, etc.)
Strong problem-solving skills and ability to take ownership of projects
Ability to work independently in a small, fast-paced startup environment
Effective communication skills to translate business needs into technical solutions

💡 Responsibilities

Design, develop, and maintain ETL/ELT data pipelines using Snowflake, dbt, Prefect, and other modern data tools
Automate data workflows to improve efficiency and reliability
Integrate CRM and other business systems to support cross-functional needs
Develop data enrichment pipelines to power our sales process
Build internal data tools to drive data-driven decision making
Work directly with stakeholders to define requirements and implement data solutions that support business objectives
Ensure data integrity, governance, and security best practices are upheld
Support analytics and reporting efforts by building dashboards and data models in dbt and Sigma

AWSPythonSQLETLSnowflakeCRMData modeling

Posted 4 days ago

Apply

🔥 Senior Data Engineer

Posted 4 days ago

📍 USA

🧭 Full-Time

💸 160000.0 - 182000.0 USD per year

🔍 Adtech

🏢 Company: tvScientific👥 11-50💰 $9,400,000 Convertible Note about 1 year agoInternet Advertising

🔧 Requirements

7+ years of experience in data engineering.
Proven experience building data infrastructure using Spark with Scala.
Familiarity with data lakes, cloud warehouses, and storage formats.
Strong proficiency in AWS services.
Expertise in SQL for data manipulation and extraction.
Bachelor's degree in Computer Science or a related field.

💡 Responsibilities

Design and implement robust data infrastructure using Spark with Scala.
Collaborate with our cross-functional teams to design data solutions that meet business needs.
Build out our core data pipelines, store data in optimal engines and formats, and feed our machine learning models.
Leverage and optimize AWS resources.
Collaborate closely with the Data Science team.

AWSSQLCloud ComputingETLMachine LearningData engineeringSparkScalaData modeling

Posted 4 days ago

Apply

🔥 Senior Data Engineer

Posted 4 days ago

📍 United States, Canada

🧭 Full-Time

💸 110000.0 - 130000.0 USD per year

🔍 Software Development

🏢 Company: Ceros👥 101-250💰 $100,000,000 Private over 4 years agoAdvertising Content Creators Content Marketing Graphic Design Software

🔧 Requirements

5+ years of experience in data engineering, focusing on AWS Redshift and ETL pipeline development.
Strong expertise in SQL performance tuning, schema management, and query optimization.
Experience designing and maintaining ETL pipelines using AWS Glue, Matillion, or similar tools.
Proficiency in JavaScript/TypeScript, with experience building custom ETL workflows and integrations.
Hands-on experience with Python for data automation and scripting.
Strong understanding of data warehousing best practices, ensuring high-quality, scalable data models.
Experience with data monitoring and alerting tools such as AWS CloudWatch and New Relic.
Ability to work independently in a fast-paced environment, collaborating across teams to support data-driven initiatives.

💡 Responsibilities

Own and lead the management of AWS Redshift, ensuring optimal performance, disk usage, and cost efficiency.
Design and maintain scalable ETL pipelines using AWS Glue, Lambda, and Matillion to integrate data from Mixpanel, CRM platforms, and customer engagement tools.
Optimize SQL-based data transformations and Redshift queries to improve performance and reliability.
Automate data offloading and partition management, leveraging AWS services like S3 and external schemas.
Ensure version control and documentation of all Redshift queries, ETL processes, and AWS configurations through a centralized GitHub repository.
Develop monitoring and alerting for data pipelines using CloudWatch and other observability tools to ensure high availability and early issue detection.
Implement and maintain data quality checks and governance processes to ensure accuracy and consistency across foundational tables.
Collaborate with AI engineers and business stakeholders to enhance data accessibility and reporting for internal teams.
Maintain and optimize BI dashboards in Metabase and HubSpot, ensuring accuracy and efficiency of business reporting.
Manage key integrations between Redshift and external platforms, including Mixpanel, HubSpot, and Census, optimizing data accessibility and performance.
Administer AWS infrastructure supporting Redshift, ensuring efficient resource utilization, IAM security, and cost management.
Automate repetitive data tasks using Python and scripting to enhance data processes and improve team efficiency.

AWSPythonSQLETLGitJavascriptTypeScriptAmazon Web ServicesAPI testingData engineeringREST APICI/CDAnsibleData modelingData analyticsData management

Posted 4 days ago

Apply

🔥 Senior Data Engineer

Posted 7 days ago

📍 United States, Canada

🧭 Full-Time

💸 113000.0 - 130000.0 USD per year

🔍 Software Development

🏢 Company: Later👥 1-10 Consumer Electronics iOS Apps Software

🔧 Requirements

Minimum of 5 years in data engineering or related fields
Bachelor’s degree in Computer Science, Engineering, or related field
Strong focus on building data infrastructure and pipelines

💡 Responsibilities

Design and build a robust data warehouse architecture
Design, build, and maintain scalable data pipelines
Develop reliable transformation layers and data pipelines
Establish optimized data architectures using cloud technologies
Enforce data quality checks and governance practices
Collaborate with cross-functional teams to deliver insights
Analyze and optimize data pipelines for performance

SQLData engineering

Posted 7 days ago

Apply

🔥 Senior Data Engineer

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 150000.0 - 190000.0 USD per year

🔍 Game Development

🏢 Company: Second Dinner

🔧 Requirements

Demonstrated experience in large-scale distributed data systems such as Spark and Flink
Deep expertise in analytical database technologies, including SQL and NoSQL
Experience with database technologies and ETL/ELT processes
Experience with orchestration and automation tools like Airflow and Beam
Experience with Databricks and AWS-based data/analytics solutions

💡 Responsibilities

Develop and operate data infrastructure and pipelines for analytics and reporting
Empower Marketing team with high-quality data for user acquisition and retention
Collaborate with teams to gain insights from analytics

AWSPythonSQLApache AirflowETLData engineeringNosqlSpark

Posted 8 days ago

Apply

🔥 Senior Data Engineer

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 145000.0 - 160000.0 USD per year

🔍 EdTech

🏢 Company: Magpie Literacy

🔧 Requirements

8+ years of experience in data engineering or related fields
Advanced SQL expertise
Proficiency in Python
Experience with BI tools and dashboard creation
Understanding of data warehouse concepts

💡 Responsibilities

Lead the transformation of reporting needs into automated data pipelines
Develop reusable reporting components
Design and implement modular SQL and dbt models
Oversee automated reporting workflows
Collaborate with stakeholders on reporting opportunities

AWSPythonSQLETLGit

Posted 8 days ago

Apply

🔥 Senior Data Engineer

Posted 13 days ago

📍 United States, Canada

🧭 Full-Time

🔍 B2B SaaS

🏢 Company: Sanity👥 51-200💰 Corporate over 2 years agoSoftware Development

🔧 Requirements

4+ years of experience building data pipelines at scale
Deep expertise in SQL, Python, and Node.js/TypeScript
Production experience with Airflow and RudderStack
Track record of building reliable data infrastructure

💡 Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines
Collaborate to implement and scale product telemetry
Establish best practices for data ingestion and transformation
Monitor and optimize data pipeline performance

Node.jsPythonSQLApache AirflowETLTypeScript

Posted 13 days ago

Apply

🔥 Senior Data Engineer

Posted 17 days ago

📍 United States, Canada

🧭 Fulltime

🔍 Software Development

🏢 Company: BioRender👥 101-250💰 $15,319,133 Series A almost 2 years agoLife Science Graphic Design Software

🔧 Requirements

7+ years of data engineering experience of relevant industry experience
Expertise working with Data Warehousing platforms (AWS RedShift or Snowflake preferred) and data lake / lakehouse architectures
Experience with Data Streaming platforms (AWS Kinesis / Firehose preferred)
Expertise with SQL and programming languages commonly used in data platforms (Python, Spark, etc)
Experience with data pipeline orchestration (e.g., Airflow) and data pipeline integrations (e.g. Airbyte, Stitch)

💡 Responsibilities

NOT STATED

AWSPythonSQLApache AirflowSnowflakeData engineeringSparkData modeling

Posted 17 days ago

Apply

🔥 Senior Data Engineer, Capacity Systems & Analytics

Posted 22 days ago

📍 United States

🧭 Full-Time

💸 175000.0 - 205000.0 USD per year

🔍 Software Development

🏢 Company: CoreWeave💰 $642,000,000 Secondary Market over 1 year agoCloud Computing Machine Learning Information Technology Cloud Infrastructure

🔧 Requirements

Hands-on experience applying Kimball Dimensional Data Modeling principles to large datasets.
Expertise in working with analytical table/file formats, including Iceberg, Parquet, Avro, and ORC.
Proven experience optimizing MPP databases (StarRocks, Snowflake, BigQuery, Redshift).
Minimum 5+ years of programming experience in Python or Scala.
Advanced SQL skills, with a strong ability to write, optimize, and debug complex queries.
Hands-on experience with Airflow for batch orchestration distributed computing frameworks like Spark or Flink.

💡 Responsibilities

Develop and maintain data models, including star and snowflake schemas, to support analytical needs across the organization.
Establish and enforce best practices for dimensional modeling in our Lakehouse.
Engineer and optimize data storage using analytical table/file formats (e.g., Iceberg, Parquet, Avro, ORC).
Partner with BI, analytics, and data science teams to design datasets that accurately reflect business metrics.
Tune and optimize data in MPP databases such as StarRocks, Snowflake, BigQuery, or Redshift.
Collaborate on data workflows using Airflow, building and managing pipelines that power our analytical infrastructure.
Ensure efficient processing of large datasets through distributed computing frameworks like Spark or Flink.

AWSDockerPythonSQLCloud ComputingETLKubernetesSnowflakeAirflowAlgorithmsApache KafkaData engineeringData StructuresREST APISparkCommunication SkillsAnalytical SkillsCollaborationCI/CDRESTful APIsDevOpsTerraformProblem-solving skillsJSONScalaData visualizationAnsibleData modelingData analyticsDebugging

Posted 22 days ago

Apply