Company Background

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Their platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time market research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

Project Description

The Data Operations Team's primary responsibility is to build, support and maintain the data pipelines database infrastructure and maintain efficient data stores. They work on improving reliability, scalability and efficiency of databases, data pipelines and data stores by engineering solutions that hosts the large amount of data the team uses as well as monitor, alert and auto-remediate issues that rises.

Technologies

• Oracle
• MySQL
• RAC/Dataguard
• Linux
• Scripting (Shell/Python/Ruby)
• Vertica, Druid, Kafka, Hadoop, Snowflake
• Redis, Mongo, Aerospike
• Ansible/Puppet

What You'll Do

• Perform database and system patching;
• Ensure regular system maintenance and operational stability;
• Install and configure new machines;
• Maintain and support database clusters, ensuring high availability and performance;

Job Requirements

• Strong expertise in Oracle RAC;
• 5+ years of experience in Oracle RAC and MySQL database administration;
• Solid experience with RAC/Data Guard maintenance, database installation and upgrades, backup and recovery, performance tuning, and security management;
• Hands-on experience with Linux systems;
• Good understanding of system administration principles;
• Experience with other databases (e.g., PostgreSQL, MySQL);
• Familiarity with scripting languages such as Shell, Python, or Ruby;
• Strong communication skills with the ability to clearly explain technical concepts to both technical and non-technical stakeholders;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

Project Description

Data Management Platform is the core system that receives, processes and provides information to other external DMPs and real time platforms. The purpose of DMP is to store the connection between users/devices and their respective behavioral categories. Further this data is used by the other teams for the analytics and digital ad targeting. Team roadmap includes developing a new system based on the streaming architecture with a relevant tech stack.

Technologies

• Spark
• Scala
• Vertica
• Kafka
• Airflow
• K8S
• Python, Java (preferable)

What You'll Do

• Own end-to-end development, from design to production, with a focus on innovation and efficiency;
• Lead and mentor developers on complex projects impacting core business systems;
• Contribute to the design and development of next-generation data solutions;
• Implement high-scale big data solutions and contribute to platform infrastructure and architecture;
• Research and evaluate core technologies, integrations, and external APIs;
• Collaborate with cross-functional stakeholders, including Product, Engineering, and data providers;
• Participate in an off-hours pager duty rotation;

Job Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience;
• 4+ years of software development experience;
• 2+ years of experience with Apache Spark;
• 2+ years of experience with Scala (preferred) and/or Python or Java;
• Experience working with high-performance, large-scale, or distributed data systems;
• Experience with SQL and NoSQL databases;
• Experience with Kubernetes;
• Experience with Git;
• Experience building and optimizing data pipelines, ETL processes, and streaming systems (e.g., Hadoop, Spark, Kafka) is a plus;
• Familiarity with tools such as GitLab, Grafana, InfluxDB, and Kibana is a plus;
• Strong communication skills and ability to work effectively in a team;
• English level: B1+ or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

Responsibilities

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data processing pipelines and APIs for high-performance applications
• Collaborate with cross-functional teams to deliver reliable and efficient solutions
• Improve system performance, scalability, and reliability
• Work with large datasets to support search, recommendation, or ML-driven features
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have)

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (primarily PySpark code)
• Experience in designing, developing, and optimizing scalable data processing pipelines and backend APIs for high-performance applications
• Solid understanding of backend development principles and system design
• Experience working with APIs, microservices, and distributed systems

Nice-to-have

• Databricks OR AWS EMR OR Hadoop
• Search technologies experience, such as:

Lexical search (e.g., Solr, Elasticsearch)

Semantic search, vector search, or RAG-based systems

Search relevance tuning and optimization

• Machine Learning experience, especially in:

Recommendation systems

User behavior prediction (e.g., click-through rate prediction, relevance estimation)

Practical ML application in production systems

We offer:

• B2B contract with our US office
• NY working hours (at least 6 hours overlap)

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

About the Role
You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production.
The role combines Java backend development and Python (primarily PySpark) for large-scale data processing.

Responsibilities:

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data pipelines for large-scale data processing (primarily with PySpark)
• Collaborate closely with ML engineers to prepare and transform data for ML models
• Work with large datasets to support search relevance and optimization systems
• Improve system performance, scalability, and reliability
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have):

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (required)
• Solid experience with Spark / PySpark or similar data processing frameworks
• Proven experience building data pipelines and working with large datasets
• Strong understanding of backend development, system design, and distributed systems
• Experience with APIs and microservices
• Good knowledge of data structures, algorithms, and performance optimization
• Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team)

Nice-to-have (at least one of the following):

• Experience with search and relevance optimization, including:
  Elasticsearch / Solr (lexical search)
  Semantic search, vector search, or RAG-based systems
  Search relevance tuning
• Experience supporting ML workflows, such as:
  Data preparation or feature engineering
  Recommendation systems or user behavior prediction
• Experience with Databricks (preferred) or similar environments:
  AWS EMR, Hadoop, Spark ecosystem

We offer:

• Freedom to Develop - equal opportunity to learn and grow professionally
• Clear career and professional path, strong performance management system
• Social Benefits Package
• Equipment
• English lessons
• Gym membership
• All the advantages of working in an international IT company
• Flexible vacation time
• Fun and inclusive in-person and digital events

Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need.

Learn more about Lineate at our website: www.lineate.com

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

Responsibilities

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data processing pipelines and APIs for high-performance applications
• Collaborate with cross-functional teams to deliver reliable and efficient solutions
• Improve system performance, scalability, and reliability
• Work with large datasets to support search, recommendation, or ML-driven features
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have)

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (primarily PySpark code)
• Experience in designing, developing, and optimizing scalable data processing pipelines and backend APIs for high-performance applications
• Solid understanding of backend development principles and system design
• Experience working with APIs, microservices, and distributed systems

Nice-to-have

• Databricks OR AWS EMR OR Hadoop
• Search technologies experience, such as:

Lexical search (e.g., Solr, Elasticsearch)

Semantic search, vector search, or RAG-based systems

Search relevance tuning and optimization

• Machine Learning experience, especially in:

Recommendation systems

User behavior prediction (e.g., click-through rate prediction, relevance estimation)

Practical ML application in production systems

We offer:

• B2B contract with our US office
• NY working hours (at least 6 hours overlap)

FEQ327R7

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

About the Role
You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production.
The role combines Java backend development and Python (primarily PySpark) for large-scale data processing.

Responsibilities:

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data pipelines for large-scale data processing (primarily with PySpark)
• Collaborate closely with ML engineers to prepare and transform data for ML models
• Work with large datasets to support search relevance and optimization systems
• Improve system performance, scalability, and reliability
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have):

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (required)
• Solid experience with Spark / PySpark or similar data processing frameworks
• Proven experience building data pipelines and working with large datasets
• Strong understanding of backend development, system design, and distributed systems
• Experience with APIs and microservices
• Good knowledge of data structures, algorithms, and performance optimization
• Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team)

Nice-to-have (at least one of the following):

• Experience with search and relevance optimization, including:
  Elasticsearch / Solr (lexical search)
  Semantic search, vector search, or RAG-based systems
  Search relevance tuning
• Experience supporting ML workflows, such as:
  Data preparation or feature engineering
  Recommendation systems or user behavior prediction
• Experience with Databricks (preferred) or similar environments:
  AWS EMR, Hadoop, Spark ecosystem

We offer:

• Freedom to Develop - equal opportunity to learn and grow professionally
• Clear career and professional path, strong performance management system
• Social Benefits Package
• Equipment
• English lessons
• Gym membership
• All the advantages of working in an international IT company
• Flexible vacation time
• Fun and inclusive in-person and digital events

Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need.

Learn more about Lineate at our website: www.lineate.com

FEQ427R309

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

FEQ227R228

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 3+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)