Lead and oversee complex data engineering projects, bridging technical gaps and navigating ambiguous conditions.
Collaborate across teams to align data engineering efforts and translate technical concepts for less technical colleagues.
Mentor data team members and ensure large engineering projects deliver business outcomes.
Velir is an established mid-sized digital agency serving clients from non-profits to Fortune 500 brands, and acquired Brooklyn Data Company, a data and analytics consultancy. The company is remote-first with a culture built on trust, collaboration, and continuous improvement, offering competitive pay and benefits.
Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
Build, evaluate, deploy, and maintain machine learning models in production.
Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.
The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.
Design, build, and maintain data pipelines, ETL/ELT processes, and API integrations.
Develop and maintain dashboards, reports, and data models using Power BI, GoodData, and Databricks.
Work with stakeholders to translate business requirements into reliable, accurate analytics solutions.
Dijital Team is a technology company that delivers data engineering, analytics, and business intelligence solutions for clients. We foster a collaborative and flexible culture with remote work, team events, and a strong focus on employee well-being and continuous learning.
Design, develop, and evolve scalable data solutions within cloud environments using Databricks.
Build and optimize data pipelines for large-scale processing with Python, PySpark/Spark, SQL, and Delta Lake.
Apply best practices in data governance, performance, and orchestration while working autonomously with data teams.
The hiring company specializes in data engineering and cloud-based solutions, using Databricks and modern data technologies to build scalable data platforms. It fosters a collaborative culture with continuous learning, innovation, and autonomy for its employees.
Create and deliver daily, weekly, and monthly reports to internal stakeholders.
Write and maintain SQL queries and use Python/Pandas to clean and analyze data.
Build and maintain automated reporting, dashboards, and visualizations.
Revenued Albania is the Tirana branch of Revenued, LLC, a fintech company in U.S. small business financing. It offers competitive pay, medical insurance, training, bonuses, and growth, with a culture of ambitious, career-driven professionals.
Use data to answer strategic questions and support business strategy.
Access, clean, and organize raw data for teams and stakeholders.
Build automated dashboards and funnels to visualize product, user, and operational data.
Super.com is a high-growth tech company on a mission to help people save more, earn more, and get more out of life. They celebrate high performers, focus on career progression, and have hosted over 100 engineering internships.
Design and optimize RAG solutions combining LLMs with enterprise knowledge stores.
Build AI knowledge architectures, reusable agents, and copilots for analytical workflows.
Collaborate with engineering teams to deploy AI capabilities across business applications.
This company provides AI-enabled analytics solutions for enterprise customers, leveraging generative AI, machine learning, and modern data platforms. It fosters a collaborative, cross-functional culture with career progression opportunities and exposure to emerging AI technologies.
Lead, mentor, and scale a global data engineering team while driving architecture, engineering standards, and delivery.
Design and build scalable data pipelines and models using GCP, BigQuery, Python, SQL, dbt, and Airflow.
Champion AI adoption across engineering workflows and partner with stakeholders to deliver data-driven solutions.
The company is building a modern data engineering foundation to power analytics and AI readiness on cloud data platforms. It fosters a people-focused, collaborative culture emphasizing trust, inclusion, and professional growth.
Develop and maintain machine-learning models across the full data science lifecycle.
Collaborate with ML engineers to deploy scalable supervised and unsupervised learning algorithms.
Design and run A/B tests to validate hypotheses and measure business impact.
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.
Research, prototype, evaluate, and scale data-driven approaches to improve population health and healthcare delivery.
Collaborate with analytics, clinical, and strategy teams to translate complex healthcare data into actionable insights.
Apply statistical, epidemiologic, and data science techniques to evaluate programs and influence enterprise strategies.
The company leverages advanced analytics and research to improve healthcare delivery, population health, and medical cost outcomes. It fosters a multidisciplinary, collaborative environment with data scientists, clinicians, and strategy teams, though specific company size and culture are not disclosed.