Support the development, implementation, and continuous improvement of the data governance framework, including policies, standards, and procedures.
Act as a Data Standards Architect by defining and maintaining data standards, naming conventions, and governance requirements across systems.
Establish clear data ownership, stewardship, and accountability models, and partner with various teams to operationalize governance requirements.
Our partner is a company focused on a large-scale modernization program supporting federal courts nationwide. They offer a highly collaborative, mission-focused environment centered on modern cloud-based data capabilities.
Build and maintain high-volume ingestion and ETL pipelines in Python that process telemetry from mobile endpoints.
Implement detection logic from research prototypes and design parsers for complex mobile forensic artefacts.
Ensure data platform scalability and reliability, establishing monitoring, alerting, and data quality checks.
iVerify is the first mobile threat hunting company that protects mobile devices like any other vulnerable corporate endpoint. They are a venture-backed company committed to building a diverse, equitable, and inclusive workplace.
Develops a comprehensive data transition plan to move legacy AIMS and PAS data into a new cloud-centric architecture.
Creates and maintains detailed file layouts, source-to-target mappings, and data models for all intersystem connections.
Supports network management, performance tuning, monitoring, and capacity management for IAM systems.
PingWind delivers outstanding services to the federal government in cybersecurity, development, IT infrastructure, supply chain management, and professional services. They are an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville, AL.
Lead the migration of analytics workflows into BigQuery and build reliable ETL/ELT pipelines.
Consolidate on-chain and off-chain data into a trusted ecosystem and establish data governance standards.
Work closely with Data Science, Backend Engineering, Risk, and Product to translate complex needs into scalable infrastructure.
This company operates in the financial technology sector, building advanced analytics and risk management products using blockchain and crypto data. It is an early-stage, well-capitalized organization with a fully remote team that values autonomy, technical excellence, and strong ownership.
Design and maintain scalable data pipelines and data models for internal and client-facing products.
Collaborate with product, design, and engineering teams to translate business needs into reliable data solutions.
Improve data quality, performance, and engineering practices while taking ownership of the data platform.
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.
Design and maintain data ingestion and transformation pipelines using dbt, SQL, and Python.
Develop semantic and analytical models in star/snowflake schemas and optimize query performance.
Collaborate with analysts and stakeholders to deliver trusted insights and support BI dashboards.
Oddin.gg builds a real-time data platform for esports analytics. The company fosters a collaborative, engineering-led culture with a strong focus on analytics and personal growth.
Develops and maintains data transformations using SQL and dbt to keep datasets accurate and up to date.
Investigates data quality issues by tracing data back through pipelines to identify root causes.
Collaborates with data developers and analysts to support the onboarding of new data sources.
CI&T helps large enterprises transform AI potential into real business impact with tech-integrated solutions. With 30 years of experience and 8,000 employees across over 25 countries, they foster a collaborative culture focused on innovation and inclusion.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.