Demonstrate deep knowledge of the data engineering domain to build and support non-interactive & real-time, highly available data pipelines.
Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines.
Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts.
Valtech is an experience innovation company that helps the world's most recognized brands unlock new value in an increasingly digital world. They blend crafts, categories, and cultures to drive transformation for leading organizations. The people at Valtech are the heart of their success, and they foster a workplace where everyone has the support to thrive, grow and innovate.
Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.
Designs, builds, implementation and maintain the database structures to support business needs including integration of vendor database solutions into data environment.
Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics.
Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006. They have grown to the second largest employer in the eastern part of the country with more than 3900 employees. Their goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for high-intensive applications and greater scalability, etc.
We are a leading software provider of Item Chain Management solutions to consumer brand, retail and industrial enterprises around the globe. We also provide development services and support to third-party customers across the globe.
Design, build, and maintain robust data pipelines.
Own and scale ETL/ELT processes using tools like dbt, BigQuery, and Python.
Build modular data models that power analytics, product features, and LLM agents.
Jobgether is a platform that uses AI to match candidates with jobs. They aim to review applications quickly and fairly, ensuring the top-fitting candidates are identified and shared with hiring companies.
Design, develop, and maintain ETL/ELT pipelines on cloud-based data platforms.
Build data ingestion, transformation, and orchestration workflows using tools such as Azure Data Factory, Airflow, Fivetran, or similar.
Develop transformations and data processing logic using platforms such as Databricks, Snowflake, or equivalent.
Ankura Consulting Group, LLC is an independent global expert services and advisory firm. They deliver services and end-to-end solutions to help clients at critical inflection points related to conflict, crisis, performance, risk, strategy, and transformation, and consists of more than 2000 professionals.
Deliver on datawarehouse and reporting requirements using Google Big Query and GCP Suite.
Architect, Design, and Build pipelines to move large amounts of data from variety of sources.
Improve existing data warehouse architecture to enable robust user facing and internal reporting.
Bitwave is a rapidly expanding startup that specializes in software for businesses that use digital assets and crypto. Our platform provides cryptocurrency accounting, tax tracking, bookkeeping, digital asset treasury management, crypto AR / AP tooling, and they recently added full DeFi support.
Lead the development of ETL pipelines and Data Lake infrastructure.
Perform ETL and Sanitation on disparate data flows from multiple internal and external sources.
Maintain data security, quality, and performance with details documentation.
Swing Left helps people maximize their impact on competitive elections to help Democrats win. They have one million members, who have raised more than $140 million and engaged more than 50 million voters.
Designing and maintaining scalable, secure data pipelines that feed BigQuery from diverse sources
Owning our infrastructure-as-code setup using Terraform
Automating data QA, modeling, and maintenance tasks using scripting and AI
TheyDo helps enterprises align around their customers with an AI-powered journey management platform, fostering smarter decisions and enhanced experiences. With $50M backing and a global team across 27 countries, TheyDo champions a customer-led, people-first culture.
Design, build, and operate ETL pipelines at scale.
Design data structure for data products.
Develop and operate API/tools related to data products and machine learning products.
Mercari is a company that provides a marketplace platform. They value teamwork and provide career growth opportunities as the company continues to expand.
Design and deliver data products that facilitate analytics and insights.
Build and maintain data access layers, including views, services, and APIs.
Develop and support RESTful APIs for data retrieval and integrations.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify top-fitting candidates and share the shortlist with the hiring company.
Lead, mentor, and develop a high-performing data engineering squads delivering production-grade pipelines and services.
Set technical and operational standards for quality, documentation, and reliability.
Partner with Program Management to plan, prioritise, and track delivery against sprint goals.
Forbes Digital Marketing Inc. is a high-growth digital media and technology company dedicated to helping consumers make confident, informed decisions about their money, health, and everyday life. We combine data-driven content, rigorous experimentation, and modern engineering to power a portfolio of global products and partnerships.
Design, build, maintain, and operate scalable streaming and batch data pipelines.
Work with AWS services, including Redshift, EMR, and ECS, to support data processing and analytics workloads.
Develop and maintain data workflows using Python and SQL.
Southworks helps companies with software development and digital transformation. They focus on solving complex problems and delivering innovative solutions.
Build and optimize scalable, efficient ETL and data lake processes.
Own the ingestion, modeling, and transformation of structured and unstructured data.
Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows.
Launch Potato is a digital media company that connects consumers with brands through data-driven content and technology. They have a remote-first team spanning over 15 countries and have built a high-growth, high-performance culture.
Use Google Big Query and GCP Suite or similar big data tools to deliver on data warehouse and reporting requirements
Utilize Databricks and similar ETL tools to perform data extraction and transformation of high volume records
Architect, design, and build pipelines to move large amounts of data from various sources
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify top-fitting candidates and share the shortlist with the hiring company.
Design and implement data solutions for enterprise customers.
Create and maintain technical documentation and architectural diagrams.
Ensure quality and governance standards are met throughout the engineering lifecycle.
Jobgether is a company that helps candidates get hired. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design, build, and scale the lakehouse architecture that underpins analytics, machine learning, and AI.
Modernize our data ecosystem, making it discoverable, reliable, governed, and ready for self-service and intelligent automation.
Operate anywhere along the data lifecycle from ingestion and transformation to metadata, orchestration, and MLOps.
OnX is a pioneer in digital outdoor navigation with a suite of apps. With more than 400 employees, they have created regional “Basecamps” to help remote employees find connection and inspiration.
Architect, design, implement, and operate end-to-end data engineering solutions.
Develop and manage robust data integrations with external vendors.
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams.
SmartAsset is an online destination for consumer-focused financial information and advice, helping people make smart financial decisions. With over 59 million people reached each month, they operate SmartAsset Advisor Marketing Platform (AMP) to connect consumers with fiduciary financial advisors.
Build and enhance data solutions and AI initiatives.
Implement scalable and efficient data models within our data lake.
Manage and optimize data storage, partitioning, and clustering strategies.
Applied Systems is transforming the insurance industry with innovative software and services. They have been in the insurtech game for over 40 years and have a culture built on values.
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow.
Lead efforts to canonicalize raw healthcare data into internal models.
Onboard new customers by integrating their raw data into internal pipelines and canonical models.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They serve over 85 health plans, including many of the top 20, representing more than 270 million lives, with an AI-powered platform and expertise.
Build and Maintain Bronze/Silver Layer Pipelines: ensure core data sources lands accurately, on time, and with full lineage.
Lead Data Ingestion, Transformation, and Enrichment: own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
Develop Automated Ingestion Pipelines: use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. They value innovation and a collaborative environment.