Senior Data Engineer

Posted 2 months agoViewed

View full description

💎 Seniority level: Senior, 4+ years

💸 Salary: 160000.0 - 200000.0 USD per year

🔍 Industry: Financial media, digital assets

🗣️ Languages: English

⏳ Experience: 4+ years

🪄 Skills: Data modeling

Requirements:

Significant knowledge of the crypto industry; crypto native.
4+ years of hands-on experience with data modeling, schema design, data operations.
Experience building backend systems at scale focused on data processing.
Proficient in Python, Go, Rust, and/or Typescript.
Strong expertise in SQL (Parquet, Postgres, Clickhouse).
Experience creating large-scale data warehouses (100M+ rows/day).
Familiar with DevOps tools and cloud solutions like Docker, Kubernetes, AWS, or GCP.

Responsibilities:

Own Data Sourcing Pipelines: Architect data warehousing, ingestion, and sourcing strategy.
Design and Implement ETL Solutions: Implement ETL approaches and model internal schemas.
Grow Shared Knowledge: Provide guidance in implementation of architectures.
Drive Operational Efficiency: Improve data workflows and automate tasks.
Cross-Functional Collaboration: Lead initiatives with Research, Product, and Engineering teams.

Apply

Related Jobs

Apply

🔥 Senior Data Engineer

Posted 2 days ago

📍 US

💸 103200.0 - 128950.0 USD per year

🔍 Genetics and healthcare

🏢 Company: Natera👥 1001-5000💰 $250,000,000 Post-IPO Equity over 1 year ago🫂 Last layoff almost 2 years agoWomen's Biotechnology Medical Genetics Health Diagnostics

BS degree in computer science or a comparable program or equivalent experience.
8+ years of overall software development experience, ideally in complex data management applications.
Experience with SQL and No-SQL databases including Dynamo, Cassandra, Postgres, Snowflake.
Proficiency in data technologies such as Hive, Hbase, Spark, EMR, Glue.
Ability to manipulate and extract value from large datasets.
Knowledge of data management fundamentals and distributed systems.

Work with other engineers and product managers to make design and implementation decisions.
Define requirements in collaboration with stakeholders and users to create reliable applications.
Implement best practices in development processes.
Write specifications, design software components, fix defects, and create unit tests.
Review design proposals and perform code reviews.
Develop solutions for the Clinicogenomics platform utilizing AWS cloud services.

AWSPythonSQLAgileDynamoDBSnowflakeData engineeringPostgresSparkData modelingData management

Posted 2 days ago

Apply

🔥 Senior Data Engineer (Python) - (Remote)

Posted 5 days ago

📍 Colombia, Spain, Ecuador, Venezuela, Argentina

🔍 HR Tech

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed almost 2 years agoInternet

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Minimum of 4 years of experience in data engineering.
Proficiency in Python with at least 4 years of experience.
Hands-on experience with big data technologies like Hadoop, Spark, or Kafka.
Proficiency in relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases like MongoDB.
Experience with AWS cloud platforms.
Strong understanding of data modeling, schema design, and data warehousing concepts.
Excellent analytical and troubleshooting skills.
Fluency in English and Spanish.

Design, build, and maintain scalable data pipelines and ETL processes for large volumes of data.
Develop and optimize data scraping solutions for efficient job data extraction.
Collaborate with data scientists on AI-driven matching algorithms.
Ensure data integrity and reliability through validation mechanisms.
Analyze and optimize system performance, addressing challenges.
Work with teams to efficiently deploy machine learning models.
Stay updated on emerging technologies and best practices.
Collaborate with various teams to understand and implement data requirements.
Maintain documentation for systems and processes, ensuring compliance.

AWSDockerPostgreSQLPythonETLHadoopKafkaKubernetesMachine LearningMongoDBMySQLSparkData modeling

Posted 5 days ago

Apply

🔥 Senior Data Engineer

Posted 21 days ago

📍 United States, United Kingdom, Spain, Estonia

🔍 Identity verification

🏢 Company: Veriff👥 501-1000💰 $100,000,000 Series C almost 3 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Fraud Detection Information Technology Cyber Security Identity Management

Expert-level knowledge of SQL, particularly with Redshift.
Strong experience in data modeling with an understanding of dimensional data modeling best practices.
Proficiency in data transformation frameworks like dbt.
Solid programming skills in languages used in data engineering, such as Python or R.
Familiarity with orchestration frameworks like Apache Airflow or Luigi.
Experience with data from diverse sources including RDBMS and APIs.

Collaborate with business stakeholders to design, document, and implement robust data models.
Build and optimize data pipelines to transform raw data into actionable insights.
Fine-tune query performance and ensure efficient use of data warehouse infrastructure.
Ensure data reliability and quality through rigorous testing and monitoring.
Assist in migrating from batch processing to real-time streaming systems.
Expand support for various use cases including business intelligence and analytics.

PythonSQLApache AirflowETLData engineeringJSONData modeling

Posted 21 days ago

Apply

🔥 Senior Data Engineer (Remote)

Posted 29 days ago

📍 United Kingdom

🔍 Esports, gaming, tournaments, leagues, events

🏢 Company: ESL FACEIT Group👥 501-1000🫂 Last layoff 10 months agoVideo Games Gaming Digital Entertainment eSports

Experience shaping architecture for mature data platforms.
Hands-on building of resilient data pipelines (Airflow, Kafka, etc.) at scale.
CI/CD expertise (Github Actions, Jenkins) in data engineering.
Infrastructure management using IaC (Terraform).
Knowledge of data modeling in cloud warehouses (BigQuery, Snowflake).
Familiarity with database design principles.
Skills in operational procedures and data observability tools.

Serve as a leader in tech and understand customer needs.
Partner with stakeholders and promote data platform adoption.
Contribute to technical strategy and manage delivery.
Set high standards for documentation, testing, and code quality.
Drive efficiencies in code, infrastructure and data models.
Inspire and guide team members through code reviews and design sessions.

AWSLeadershipPythonSQLGCPJenkinsKafkaSnowflakeStrategyAirflowData engineeringData StructuresPrometheusCI/CDDevOpsTerraformDocumentationData modeling

Posted 29 days ago

Apply

🔥 Senior Data Engineer

Posted about 1 month ago

📍 Spain

💸 80000 - 110000 EUR per year

🔍 Financial services

5+ years of professional experience in Data Engineering or similar roles.
Proficient in SQL and DBT for data transformations.
Fluent in Python or other modern programming languages.
Experience with infrastructure as code languages, like Terraform.
Experienced in data pipelines, data modeling, data warehouse technologies, and cloud infrastructures.
Experience with AWS and/or other cloud providers like Azure or GCP.
Strong cross-team communication and collaboration skills.
Ability to thrive in ambiguous situations.

Work with engineering managers and tech leads to identify and plan projects based on team goals.
Collaborate closely with tech leads, managers, and cross-functional teams to deliver technology for analytical use cases.
Write high-quality, understandable code.
Review other engineers' work, providing constructive feedback.
Act as a technical resource and mentor for engineers inside and outside the team.
Promote a respectful and supportive team environment.
Participate in on-call rotation as required.

AWSPythonSQLGCPAzureData engineeringCollaborationTerraformData modeling

Posted about 1 month ago

Apply

🔥 Senior Data Engineer

Posted about 2 months ago

📍 United States, Canada

🔍 Advanced analytics consulting

🏢 Company: Tiger Analytics👥 1001-5000 Advertising Consulting Big Data News Machine Learning Analytics

Bachelor’s degree in Computer Science or similar field.
8+ years of experience in a Data Engineer role.
Experience with relational SQL and NoSQL databases like MySQL, Postgres.
Strong analytical skills and advanced SQL knowledge.
Development of ETL pipelines using Python & SQL.
Good experience with Customer Data Platforms (CDP).
Experience in SQL optimization and performance tuning.
Data modeling and building high-volume ETL pipelines.
Working experience with any cloud platform.
Experience with Google Tag Manager and Power BI is a plus.
Experience with object-oriented scripting languages: Python, Java, Scala, etc.
Experience extracting/querying/joining large data sets at scale.
Strong communication and organizational skills.

Designing, building, and maintaining scalable data pipelines on cloud infrastructure.
Working closely with cross-functional teams.
Supporting data analytics, machine learning, and business intelligence initiatives.

PythonSQLBusiness IntelligenceETLJavaMySQLPostgresNosqlAnalytical SkillsOrganizational skillsData modeling

Posted about 2 months ago

Apply

🔥 Senior Data Engineer

Posted about 2 months ago

📍 Mexico, Gibraltar, Colombia, USA, Brazil, Argentina

🧭 Full-Time

🔍 FinTech

🏢 Company: Bitso

Proven English fluency.
3+ years professional working experience with analytics, ETLs, and data systems.
3+ years with SQL databases, data lake, big data, and cloud infrastructure.
3+ years experience with Spark.
BS or Master's in Computer Science or similar.
Strong proficiency in SQL, Python, and AWS.
Strong data modeling skills.

Build processes required for optimal extraction, transformation, and loading of data from various sources using SQL, Python, Spark.
Identify, design, and implement internal process improvements while optimizing data delivery and redesigning infrastructure for scalability.
Ensure data integrity, quality, and security.
Work with stakeholders to assist with data-related technical issues and support their data needs.
Manage data separation and security across multiple data sources.

AWSPythonSQLBusiness IntelligenceMachine LearningData engineeringData StructuresSparkCommunication SkillsData modeling

Posted about 2 months ago

Apply

🔥 Senior Data Engineer (Portugal-based Remote/Hybrid)

Posted about 2 months ago

📍 Portugal

🔍 Healthcare technology

NOT STATED

Assist in developing data engineering solutions that drive company initiatives.
Implement data pipelines to manage and process large datasets effectively.
Collaborate with cross-functional teams to enhance product offerings.

AWSDockerPostgreSQLPythonSQLApache AirflowETLData engineeringData modeling

Posted about 2 months ago

Apply

🔥 Senior Data Engineer, Colombia 2024

Posted about 2 months ago

📍 Colombia

🧭 Full-Time

🔍 Data engineering and analytics consultancy

🏢 Company: Aimpoint Digital

Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience.
3+ years working with relational databases and query languages.
3+ years building data pipelines in production across various data types.
3+ years data modeling experience.
3+ years writing clean code in Python, Scala, Java, or similar languages.
Experience with cloud data warehouses and ETL/ELT tools preferred.
DevOps and container technology experience preferred.
Consulting experience strongly preferred.

Become a trusted advisor working with clients, including data owners and C-level executives.
Work independently as part of a small team to solve complex data engineering use cases across various industries.
Design and develop the analytical layer, building cloud data warehouses, data lakes, and ETL/ELT pipelines.
Support deployment of data science and machine learning projects into production.
Work with modern data tools like Snowflake, Databricks, and Fivetran.

PythonSQLBusiness DevelopmentETLGitJavaSnowflakeData engineeringSparkCommunication SkillsCI/CDStakeholder managementData modeling

Posted about 2 months ago

Apply

🔥 Senior Data Engineer

Posted 2 months ago

📍 United States

🔍 Advertising software for Connected TV

🏢 Company: MNTN👥 251-500💰 $2,000,000 Seed almost 2 years agoAdvertising Real Time Marketing Software

5+ years of experience related to data engineering, analysis, and modeling complex data.
Experience with distributed processing engines such as Spark.
Strong experience with programming languages like Python and familiarity with algorithms.
Experience in SQL, data modeling, and manipulating large data sets.
Hands-on experience with data warehousing and building data pipelines.
Familiarity with software processes and tools such as Git, CI/CD, Linux, and Airflow.
Experience with cloud computing environments like AWS, Azure, or GCP.
Strong written and verbal communication skills for conveying technical topics.

Become the expert on MNTN Data Pipelines, Infrastructure and Processes.
Design architecture with observability to maintain high quality data pipelines.
Create and manage ETL/ELT workflows for transforming large data sets.
Organize data and metrics for ad buying features and client performance.
Organize visualizations, reporting, and alerting for performance and trends.
Investigate critical incidents and ensure issues are resolved.

AWSPythonSQLCloud ComputingETLGCPGitAirflowAlgorithmsAzureData engineeringGoSparkCommunication SkillsCI/CDLinuxData modeling

Posted 2 months ago

Apply

Senior Data Engineer

Requirements:

Responsibilities:

Related Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities