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🔥 Data Migration Specialist (Remote)

Posted 24 minutes ago

📍 United States

🔍 Healthcare

🏢 Company: Komodo Health👥 100-500💰 $200,000,000 over 2 years ago🫂 Last layoff over 2 years agoPredictive Analytics Information Technology Health Care Software

🔧 Requirements

2+ Years of Data Migration and SQL Experience: Hands-on expertise in executing data migration projects, including designing and implementing SQL-based solutions for data extraction, transformation, and loading (ETL)
Customer Experience Focus: Demonstrated ability to work collaboratively with clients and within project teams to understand and meet their needs effectively
Technical Documentation Skills: Experience in authoring detailed technical design specifications and documenting comprehensive data migration strategies
Creative Problem-Solving Abilities: Skilled at navigating and resolving conflicting requirements, balancing business demands, and mitigating technical risks or challenges with innovative solutions

💡 Responsibilities

Develop expertise in Komodo Health’s suite of products and solutions, ensuring a deep understanding of their capabilities and applications
Translate business requirements into detailed and actionable data migration plans to meet client needs
Collaborate in data design sessions to define optimal migration approaches and structures
Configure and set up accurate data mappings to facilitate smooth migrations
Build repeatable and efficient data migration processes using specialized tools like SQL Server or Talend, ensuring scalability and reliability
Maintain comprehensive documentation of strategies, migration processes, fixes, and adjustments to support knowledge sharing and process transparency
Provide accurate estimates and detailed work breakdowns for assigned tasks while continuously learning new products and technical capabilities

SQL ETL

Posted 24 minutes ago

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🔥 Data Scientist - German speaker - Full Remote

Posted 36 minutes ago

📍 Germany

🧭 Full-Time

🔍 Insurance

🏢 Company: Shift Technology👥 501-1000💰 Series D over 3 years agoArtificial Intelligence (AI)Machine Learning InsurTech Information Technology Insurance

🔧 Requirements

Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users - writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking.
AI-savvy, either by having a degree in machine learning, or statistics, or having hands-on experience with AI- and GenAI-based methods and models to tackle complex business problems.
Clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis.
Business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products.
Advanced command of German and English, both written and spoken, equivalent to a native speaker.

💡 Responsibilities

Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
Developing, testing, and tuning models using GenAI, AI, and business rules, and putting them in production for tasks such as fraud detection and automation detection in complex environments.
Automate key business tasks by implementing them in our production process framework in C#
Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions

Python SQL ElasticSearch ETL Machine Learning Numpy C#Algorithms Data engineering Data science REST API Pandas Client relationship management Data visualization Data modeling

Posted 36 minutes ago

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🔥 IT Procurement Systems Analyst

Posted 38 minutes ago

📍 United States

💸 63000.0 - 108675.0 USD per year

🔍 Health Care

🏢 Company: vspvisioncareers

🔧 Requirements

Bachelor's degree in Computer Science or related field or equivalent experience
4+ years of experience performing analysis of information systems
Experience coding; must read/comprehend code in order to design technical specifications

💡 Responsibilities

Utilize in-depth technical knowledge for analysis and drive technical transition, system modification/enhancements, and aid in process of technical development.
Be a strategic liaison and focal point of communication between GTS staff, management, and business partners in order to achieve creative and effective technical solutions.
Perform strategic technical research and analysis for all lines of business.
Produce efficient functional and technical specifications for moderately complex to complex projects
Research and determine technical system implications from business user stories
Provide technical requirements definition, detailed development specifications, development, test methods, and project/functionality delivery in line with the long-term goals and objectives and architecture
Utilize developed knowledge of information systems, including but not limited to system flow, input and output requirement, infrastructure, and coding, in order to create technical designs which, ensure business needs are met
Stay informed of GTS architecture and strategic goals to ensure the preservation of these in projects throughout the enterprise; also remain current and comprehend the vision, long-term objectives, and goals
Conduct technical analysis of complex issues and actively participate or lead throughout development cycles and/or enterprise modifications
Serve as resource and point of contact for technical team members for delivery and support of design/development cycle, and post-implementation
Develop technical plans and analyze, identify, plan, and manage scope and risks required to meet goals of moderately complex to complex projects
Facilitate and influence communications between technical and business units to drive technical projects to optimal outcome
Continually look for process improvement strategies
Conduct impact analysis and mitigate risks
Remain current on new technologies; introduce applicable technology in alignment with goals and for creative solutions
Guide change with a focus on optimal outcomes

Project Management Software Development SQL Business Analysis Data Analysis ETL SAP API testing REST API Analytical Skills Customer service Excellent communication skills Problem-solving skills Cross-functional collaboration Risk Management Data modeling Scripting Change Management

Posted 38 minutes ago

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🔥 Senior Engineering Manager, Data

Posted about 2 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 2 hours ago

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🔥 Data Analyst

Posted about 3 hours ago

📍 United States, Canada

💸 141000.0 - 178000.0 USD per year

🔍 Software Development

🏢 Company: OpenPhone👥 51-100💰 $40,000,000 Series B almost 3 years agoProductivity Tools Messaging B2B Collaboration Software

🔧 Requirements

4+ years of experience in data analysis, preferably in a SaaS environment.
Strong analytical and problem-solving skills with a quantitative mindset.
Familiarity with analytics engineering and dbt (a plus).
Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
Ability to thrive in a high-paced, high-growth environment.
Experience managing data projects and collaborating with cross-functional teams.

💡 Responsibilities

Develop and maintain dashboards and reports using BI tools (e.g., Mode, Tableau) to support GTM teams.
Analyze marketing, advertising, and sales data, including conversion funnel and cohort retention analyses, slicing data by attribution models, and providing customer lifecycle insights.
Collaborate with stakeholders across sales, marketing, and customer success to define key metrics and reporting needs.
Write efficient SQL queries to extract, transform, and analyze data from various sources.
Assist in data modeling and transformation using dbt (a plus but not required).
Comfortable with working large and complex data coming from multiple sources such as Kafka events or web traffic data from ad platforms.
Communicate findings effectively to both technical and non-technical stakeholders.
Ensure data accuracy, integrity, and security in all reporting and analysis efforts.

SQL Data Analysis ETL Tableau Communication Skills Analytical Skills Data visualization Marketing Stakeholder management Data modeling Data analytics Data management SaaS

Posted about 3 hours ago

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🔥 Senior Software Developer, Data Technology

Posted about 4 hours ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🔧 Requirements

A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
Experience working with message queues such as Kafka and Kinesis
Experience developing data pipelines and integrations for high volume, velocity and variety of data
Experience with data warehousing and data modeling best practices

💡 Responsibilities

Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
Implement our technical roadmap as we scale our services and build new data products
Participate in code reviews, attend regular team meetings, and apply software development best practices
Take ownership of your work, and work autonomously when necessary
Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWS PostgreSQL Python Software Development SQL Agile Apache Airflow Cloud Computing Data Analysis Data Mining ETL Java Kafka MySQL Software Architecture Algorithms API testing Data engineering Data Structures Go Serverless Spark CI/CD RESTful APIs Microservices Scala Data visualization Data modeling Data management

Posted about 4 hours ago

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🔥 Software Engineer, Data Infrastructure

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Anrok👥 51-100💰 $30,000,000 Series B 11 months agoSaaS Software Tax Preparation

🔧 Requirements

Product-minded software engineer with 5+ years of experience
Experience talking to users and synthesizing needs
Deep understanding of data platforms and building for scale

💡 Responsibilities

Design, build, and scale systems that let customers reliably sync their Anrok financial data to their data warehouses (e.g. Snowflake, BigQuery), allowing them to reconcile invoicing, payment, and bank account data.
Interface directly with customers to ensure the formats and mechanisms are tailored to the domain, but still flexible enough to accommodate different accounting practices.
Increase the flexibility and scale of Anrok's internal data infrastructure, allowing us to more effectively leverage data in our decision making.

AWS Backend Development PostgreSQL Python SQL Cloud Computing Data Analysis ETL Git Snowflake Algorithms Data engineering Data Structures REST API CI/CD Microservices Data visualization Data modeling NodeJS Software Engineering Data analytics Data management Debugging Customer Success

Posted about 5 hours ago

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🔥 Director, Financial Systems

Posted about 7 hours ago

📍 United States

💸 143000.0 - 206000.0 USD per year

🏢 Company: Oura👥 251-500💰 $75,000,000 Series D 4 months agoWearables Mobile Apps Health Care

🔧 Requirements

Bachelor's degree in Finance, Accounting, Information Systems, or a related field (or equivalent experience).
10+ years of experience managing financial systems, with a focus on ERP platforms such as NetSuite.
5+ years NetSuite experience
Strong functional knowledge of core accounting processes as they relate to NetSuite ERP
Strong knowledge of GAAP, SOX compliance, and financial operations best practices.
Strong project management skills with the ability to lead complex cross-functional initiatives.

💡 Responsibilities

Develop and co-own the strategic roadmap for our ERP (NetSuite) and core financial applications, including tax (Avalara), bank reconciliation (FloQast), expense management (Airtable), procurement, and enterprise performance management (EPM) solutions, ensuring seamless integration and operational excellence.
Partner with Accounting and FP&A teams to streamline financial operations, automate processes, and enhance reporting capabilities.
Ensure strong controls, compliance, and audit readiness, ensuring adherence to SOC2, SOX, and other compliance frameworks as we scale.
Lead and mentor a team of business systems analysts, fostering a culture of innovation, accountability, and professional growth.
Collaborate cross-functionally with IT, Security, Privacy, and external partners to enhance system architecture and data integrity.
Stay ahead of industry trends and emerging technologies to future-proof our financial tech stack.

Leadership Project Management SQL Business Analysis ETL People Management Project Coordination Cross-functional Team Leadership Financial Management Azure CI/CD Agile methodologies Accounting Compliance Budgeting Stakeholder management Financial analysis Data modeling Data analytics Data management

Posted about 7 hours ago

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🔥 Lead Partner Sales Engineer

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 166372.19 - 207965.24 USD per year

🔍 Software Development

🔧 Requirements

Deep understanding of GSI and Reseller pre-sales motions, including how solution architects, pre-sales technical specialists and technical teams participate in discovery workshops, opportunity qualification, proof-of-concepts, and technical validation sessions. This includes understanding how technology choices impact project economics and delivery timelines.
Experience with GSI and Reseller sales methodologies, particularly how they identify and qualify opportunities through both client-direct and vendor-partner channels and how they manage complex, multi-stakeholder, multi-vendor, multi-tech option sales cycles.
Knowledge of how GSIs and Resellers approach technical enablement and skills development, including their internal training programs and certification paths, and how they maintain technical excellence across delivery teams while managing utilization targets.
Cloud data platforms and data lakes: Snowflake, Databricks, Redshift, BigQuery, Synapse, S3, ADLS, OneLake, Hadoop - Hands-on experience with modern cloud data platforms and data lake architectures
Data workloads including data warehousing, data lakes, AI, ML, Gen AI, data applications, data engineering
Open table formats: Iceberg, Delta Lake, Hudi
Data movement technologies: Fivetran, HVR, Matillion, Airbyte, Informatica, Talend, Datastage, ADF, AWS Glue. Hands-on experience with traditional (or more modern) ETL/ELT solutions
Databases: Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, CosmosDB, SAP HANA.
Applications: Salesforce, Google Analytics, ServiceNow, Hubspot, etc.
ERP solutions: SAP, Oracle, Workday, etc.
Data transformation solutions: dbt Core, dbt Cloud, Coalesce, Informatica
Gen AI: approaches, concepts, and the Gen AI technology ecosystem for hyperscalers, cloud data platforms, and solution-specific ISVs
REST APIs: Experience programmatically interacting with REST APIs
Data Infrastructure, Data Security, Data Governance and Application Development: strong understanding of technical architectures and approaches
Programming languages: Python, SQL

💡 Responsibilities

Create, develop, build, and take ownership of ongoing relationships with GSI and Reseller pre-sales technical team members, lead architects, and other technical recommenders to create multiple Fivetran technical evangelists and champions within each GSI and Reseller partner.
Interact daily with Fivetran’s top GSI and Reseller partners while tracking, measuring, and driving 3 primary KPIs - partners enabled, gtm activities supported, and technical content created.
Represent Fivetran as the partner technical liaison plus product, data and solution expert. Collaborate with the strategic GSI and Reseller Partner Sales Managers to enable new and existing GSI and Reseller partners to understand Fivetran's value, differentiation, messaging, and technical/business value.
Assist Fivetran Partner Sales Managers in communicating and demonstrating Fivetran’s value prop to existing and prospective partners to get them excited about partnering with Fivetran
Get hands-on with all aspects of Fivetran and the broader data ecosystem technologies listed above in building out live demos, hands-on labs, solution prototypes, and Fivetran/GSI/Reseller joint solutions.
Communicate customer requirements and competitor solutions. Provide a strong technical response to partner requests. Engage the customer SE team and communicate client requirements for individual client opportunities.

PostgreSQL Python SQL Business Intelligence Cloud Computing ETL Hadoop MongoDB MySQL Oracle Salesforce SAP Snowflake Google Analytics Data engineering Analytical Skills Mentoring Presentation skills Excellent communication skills Relationship building Strong communication skills

Posted about 7 hours ago

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🔥 Director of Data Engineering (Remote USA)

Posted about 7 hours ago

📍 United States

💸 92000.0 - 180000.0 USD per year

🔍 Software Development

🔧 Requirements

Strong experience leading/managing a team of software engineers to develop applications
Ability to work closely with other leaders to scale our technology and the Engineering organization
Ability to work closely with key internal stakeholders to develop and manage the engineering roadmap
Ability to drive technical projects and planning
Strong communication skills; able to disseminate information across the organization and have strategic influence
A minimum of 7 years’ experience developing production-grade systems
A minimum of 5 years’ experience managing developers and DevOps teams

💡 Responsibilities

Define and enforce IT policies related to cloud security, software development and DevOps best practices to ensure scalable and secure systems
Provide strategic support and challenge decisions through thought-provoking questions.
Understand data governance; create and maintain policies and procedures while implementing data management systems and ensuring compliance with regulations.
Simplify complex problems to make them manageable for the organization
Drive organizational change effectively
Foster strong cross-functional communication and collaboration
Lead software engineering teams in cloud-native environments, particularly Microsoft Azure
Drive the adoption of cloud best practices, microservices, and scalable architecture
Establish coding standards, best practices, and governance policies to ensure maintainable, scalable, and secure software solutions.
Cloud Optimization – Ensure efficient use of Azure services while optimizing performance, scalability, and cost.
Effectively manage remote engineers
Provide technical and organizational leadership across the engineering team
Coach/mentor team members to encourage professional and career growth

Leadership Software Development SQL Cloud Computing ETL Machine Learning Microsoft Azure People Management Cross-functional Team Leadership Algorithms Azure Data engineering Data science Communication Skills Analytical Skills CI/CD DevOps Microservices Data visualization Stakeholder management Data modeling Data management

Posted about 7 hours ago

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