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🔥 Senior Engineering Manager, Data

Posted about 24 hours ago

📍 India

🧭 Full-Time

🔍 Software Development

🏢 Company: Frequence

🔧 Requirements

10+ years of experience in software development, including 5+ years in leadership roles managing managers and leading high-performing engineering teams.
A deep understanding of design patterns, software development methodologies, and distributed systems architecture.
Hands-on experience with relevant technologies and tools, such as Airflow, Spark, and streaming architectures.
Well-versed in data pipelining, data warehousing, data modeling, data streaming, streaming architectures, database performance and ETL processes.
Experience in cloud infrastructure (preferably GCP) and have built large-scale, distributed systems with a focus on reliability, observability, and cost efficiency.
Data-driven, using metrics and analytics to track team performance, identify areas for improvement, and drive strategic decisions.

💡 Responsibilities

Identify and drive new strategic opportunities.
Weave AI into current data and reporting solutions.
Ensure the reliability, security and performance of database systems.
Work closely with executive leadership and other engineering leaders.
Manage managers and work effectively with skip-level employees.
Drive the planning and estimation process for cross-functional initiatives.
Proactively identify risks and implement mitigation strategies.
Advocate for strong engineering practices and software architecture improvements.
Ensure that engineering outcomes have a measurable impact on company top-line or bottom-line performance.

Leadership Project Management Python Software Development SQL Cloud Computing Data Analysis ETL GCP Kafka Kubernetes Machine Learning People Management Software Architecture Cross-functional Team Leadership Airflow Algorithms Data engineering REST API Strategic Management Spark Communication Skills Analytical Skills CI/CD Agile methodologies DevOps Microservices Risk Management Data visualization Team management Stakeholder management Data modeling Data management Budget management

Posted about 24 hours ago

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🔥 Middle NLP Engineer

Posted 1 day ago

📍 Serbia

🧭 Full-Time

🔍 Software Development

🏢 Company: Social Discovery Group👥 501-1000 Venture Capital Finance Information Technology

🔧 Requirements

Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, Plotly)
Excellent coding skills
Strong knowledge of LLMs: APIs, best models, and prompting techniques
Familiarity with Data & ML production pipelines (Airflow, MlFlow)
Proven experience working on ML solutions

💡 Responsibilities

Work on NLP-related tasks as part of the team, including writing prompts, creating functions, and fine-tuning models when necessary
Build ML/AI models, write services (if needed for the project), wrap them into Docker
Collaborate with cross-functional team of: Product owner, Analytics, ML
Share ideas and help with knowledge with the team

AWS Docker Python Data Analysis GCP Machine Learning MLFlow Numpy Airflow Algorithms Azure REST API Pandas

Posted 1 day ago

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🔥 Sr. Data Engineer (Poland)

Posted 2 days ago

📍 Poland

🧭 Full-Time

🔍 Software Development

🏢 Company: Craft Machine Inc

🔧 Requirements

2+ years of experience in Data Engineering.
2+ years of experience with Python.
Experience in developing, maintaining, and ensuring the reliability, scalability, fault tolerance and observability of data pipelines in a production environment.
Strong knowledge of SDLC and solid software engineering practices.
Knowledge of and experience with Amazon Web Services (AWS) and Databricks.
Demonstrated curiosity through asking questions, digging into new technologies, and always trying to grow.
Strong problem solving and the ability to communicate ideas effectively.
Familiar with infrastructure-as-code approach.
Self-starter, independent, likes to take initiative.
Have fundamental knowledge of data engineering techniques: ETL/ELT, batch and streaming, DWH, Data Lakes, distributed processing.
Familiarity with at least some technologies in our current tech stack: Python, PySpark, Pandas, SQL (PostgreSQL), Airflow, Docker, Databricks & AWS (S3, Batch, Athena, RDS, DynamoDB, Glue, ECS), CircleCI, GitHub, Terraform

💡 Responsibilities

Building and optimizing data pipelines (batch and streaming).
Extracting, analyzing and modeling of rich and diverse datasets.
Designing software that is easily testable and maintainable.
Support in setting data strategies and our vision.
Keep track of emerging technologies and trends in the Data Engineering world, incorporating modern tooling and best practices at Craft.
Work on extendable data processing systems that allows to add and scale pipelines.
Applying machine learning techniques such as anomaly detection, clustering, regression classification, summarization to extract value from our data sets.

AWS Docker PostgreSQL Python SQL ETL Machine Learning Airflow Amazon Web Services Data engineering Pandas CI/CD Terraform Data modeling Software Engineering

Posted 2 days ago

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🔥 Future Opportunity - Senior Data Engineers Apply Here!

Posted 3 days ago

📍 United States, Latin America, India

🔍 Software Development

🔧 Requirements

At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
Programming expertise in Java, Python and/or Scala
Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
SQL and the ability to write, debug, and optimize SQL queries
Client-facing written and verbal communication skills and experience
4-year Bachelor's degree in Computer Science or a related field

💡 Responsibilities

Develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
Create and deliver detailed presentations
Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWS Python SQL Cloud Computing Data Analysis ETL GCP Java Kafka Snowflake Airflow Azure Data engineering Spark Communication Skills Scala Data modeling Software Engineering

Posted 3 days ago

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🔥 Staff Software Engineer, Data Platform

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 240000.0 - 265000.0 USD per year

🔍 Software Development

🏢 Company: TRM Labs👥 101-250💰 $70,000,000 Series B over 2 years agoCryptocurrency Compliance Blockchain Big Data

🔧 Requirements

7+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment.
Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL.
In-depth experience with data stores such as Icerberg, Trino, BigQuery, and StarRocks, and Citus.
Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc.
Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog.
Proven ability in loading, querying, and transforming extensive datasets.

💡 Responsibilities

Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability.
Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

AWS Docker Python SQL Cloud Computing ETL Kafka Kubernetes Airflow Data engineering Postgres Spark Terraform Data modeling

Posted 3 days ago

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🔥 Senior Data & Analytics Engineer II

Posted 4 days ago

📍 CA, CO, CT, FL, IL, MA, MD, NC, NJ, NY, OR, VA, VT, WA, United Kingdom

🧭 Full-Time

💸 175000.0 - 191300.0 USD per year

🔍 Crowdfunding

🏢 Company: Kickstarter PBC

🔧 Requirements

8+ years of experience in data engineering, analytics engineering, or related fields.
Strong experience with cloud-based data warehouses (Redshift, Snowflake, or BigQuery) and query performance optimization.
Expertise in SQL, Python, and data transformation frameworks like dbt.
Experience building scalable data pipelines with modern orchestration tools (Airflow, MWAA, Dagster, etc.).
Knowledge of real-time streaming architectures (Kafka, Kinesis, etc.) and event-based telemetry best practices.
Experience working with business intelligence tools (e.g. Looker) and enabling self-serve analytics.
Ability to drive cost-efficient and scalable data solutions, balancing performance with resource management.
Familiarity with machine learning operations (MLOps) and experimentation tooling is a plus.

💡 Responsibilities

Develop, own and improve Kickstarter’s data architecture—optimize our Redshift warehouse, implement best practices for data storage, processing, and orchestration.
Design and build scalable ETL/ELT pipelines to transform raw data into clean, usable datasets for analytics, product insights, and machine learning applications.
Enhance data accessibility and self-service analytics by improving Looker models and enabling better organizational data literacy.
Support real-time data needs by optimizing event-based telemetry and integrating new data streams to fuel new products, personalization, recommendations, and fraud detection.
Lead cost optimization efforts—identify and implement more efficient processes and tools to lower costs.
Drive data governance and security best practices—ensure data integrity, access controls, and proper lineage tracking.
Collaborate across teams to ensure data solutions align with product, growth, and business intelligence needs.

Python SQL ETL Kafka Snowflake Airflow Data engineering Data visualization Data modeling

Posted 4 days ago

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🔥 Mid Level Data Engineer

Posted 7 days ago

📍 São Paulo, Rio Grande do Sul, Rio de Janeiro, Belo Horizonte

🔍 Data field

🏢 Company: TELUS Digital Brazil

🔧 Requirements

3+ years in the Data field
Experience in the construction and optimization of data pipelines, architectures, and 'big data' datasets
Proficiency with Apache Spark with a general-purpose programming language such as Python or Scala
Ability to create processes supporting data transformation, data structures, metadata, dependency, and workload management
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL databases
Experience with data pipeline and workflow management tools

💡 Responsibilities

Be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams;
Create and maintain optimal data pipeline architecture;
Assemble large, complex data sets that meet business requirements;
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc;
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
Work with data and analytics experts to strive for greater functionality in our data systems.

AWS Python SQL Cloud Computing ETL GCP Hadoop Kafka Airflow Azure Data engineering Scala

Posted 7 days ago

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🔥 Senior Software Engineer, Data

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 177000.0 - 213000.0 USD per year

🔍 FinTech

🏢 Company: Flex

🔧 Requirements

A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
A minimum of 6 years of experience with Python and SQL.
A minimum of 3 years of industry experience using DBT.
A minimum of 3 years of industry experience using Snowflake and its basic features.
Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
Industry experience with different big data platforms and tools such as Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
Industry experience working with relational and NoSQL databases in a production environment.
Strong fundamentals in data structures, algorithms, and design patterns.

💡 Responsibilities

Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
Closely collaborating with the Analytics team for data modeling, reporting, and data ingestion.
Create scalable real-time streaming pipelines and offline ETL pipelines.
Design, implement, and manage a data warehouse that provides secure access to large datasets.
Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Create engineering documentation for design, runbooks, and best practices.

AWS Python SQL Bash Design Patterns ETL Hadoop Java Kafka Snowflake Airflow Algorithms Cassandra Data engineering Data Structures Nosql Spark Communication Skills CI/CD RESTful APIs Terraform Written communication Documentation Data modeling Debugging

Posted 8 days ago

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🔥 Senior Manager, Data & Integrations

Posted 9 days ago

📍 United States

🧭 Full-Time

💸 185000.0 - 210000.0 USD per year

🔍 Data and Integrations

🏢 Company: Axonius👥 600-600💰 $200,000,000 Series E about 1 year agoAsset Management Cloud Security Information Technology Cyber Security Network Security

🔧 Requirements

8+ years of experience in Data and related domains including big data pipelines, cloud data warehouses, SQL and NoSQL databases, data analysis and integrations.
3+ years of experience recruiting and managing technical teams
Experience building and maintaining data catalogs and making data widely available
Experience collaborating with business partners to develop roadmaps and driving outcomes
Proficiency with one or more programming languages - Python/Scala/Java/Go.
Proficiency with SQL and experience with ETL and data modeling.
Experience working with and integrating with SaaS applications such as Salesforce, Marketo, Netsuite and Workday.
Experience in an agile development methodology
Bachelor's degree in Computer Science or equivalent experience.

💡 Responsibilities

Lead the overall data integration strategy, identifying key data sources and establishing data governance policies for data accuracy and consistency.
Collaborate with business functions across the enterprise to understand system capabilities and data needs, communicating integration plans and delivering data solutions.
Recruit and manage a team of data professionals (data engineers, integration specialists, etc.) to design, develop, and maintain data pipelines and a comprehensive data catalog.
Select and implement data integration tools to efficiently move data between systems.
Ensure data is user-friendly, performant, and accessible across the organization.
Ensure all data and pipelines adhere to data privacy regulations and security standards.
Transform raw data into models using dbt.

Leadership Python SQL Agile Cloud Computing Data Analysis ETL Snowflake Airflow Algorithms Data engineering Data Structures REST API Communication Skills Analytical Skills Microsoft Excel Problem Solving Agile methodologies Excellent communication skills Recruitment JSON Data visualization Team management Data modeling Data management SaaS

Posted 9 days ago

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🔥 Lead Engineer, BI

Posted 10 days ago

📍 United States, Canada

🔍 Business Intelligence

🏢 Company: OneSix - External

🔧 Requirements

6+ years of experience in business intelligence, data engineering, or a similar role.
Expert-level proficiency in SQL, data modeling, and ETL development.
Extensive experience with BI tools such as Power BI, Tableau, or Looker.
Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions.
Strong programming skills in Python, R, or other scripting languages for data automation.
Proven ability to lead teams and manage large-scale BI initiatives.
Excellent problem-solving, strategic thinking, and stakeholder communication skills.
Experience with machine learning, AI-driven analytics, or predictive modeling.
Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar).
Knowledge of version control (Git) and CI/CD for data workflows.
Background in Agile methodologies and project management.

💡 Responsibilities

Define and drive the BI strategy, ensuring alignment with business objectives.
Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement.
Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions.
Design, implement, and optimize scalable data models and architectures for reporting and analytics.
Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake)
Lead the development of enterprise-level dashboards, reports, and self-service BI tools.
Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools.
Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms.
Establish and enforce BI best practices, including data governance, security, and documentation.
Monitor and improve query performance, data processing efficiency, and system scalability.
Ensure compliance with data privacy and security regulations.
Work cross-functionally with data engineers, analysts, and business teams to align data strategies.
Act as a key advisor on data-driven initiatives, influencing decision-making at the leadership level.
Facilitate training and enablement programs to enhance BI adoption across the organization.

AWS Leadership Python SQL Agile Business Intelligence Cloud Computing Data Analysis ETL Git Machine Learning Snowflake Tableau Airflow Azure Data engineering CI/CD Problem Solving Excellent communication skills Data visualization Mentorship Strategic thinking Data modeling Data management

Posted 10 days ago

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