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🔥 Analytics Engineer II
Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 125000.0 - 145000.0 USD per year

🏢 Company: Spark Advisors👥 11-50💰 $25,000,000 Series B about 1 year agoFinancial ServicesRetirementEmployee Benefits

  • 4+ years of experience in data or analytics engineering.
  • Advanced proficiency in SQL and experience with DBT/Dataform for building scalable pipelines
  • Some exposure to Python and data visualization tools (e.g. Metabase, Hex, Tableau, PowerBI)
  • Detail-oriented with the ability to analyze complex data and draw conclusions even when faced with messy/incomplete data
  • Proven ability to automate data workflows using modern tools
  • Comfortable giving and receiving feedback on standardized processes to ensure quality and consistency
  • Strong communication skills for working cross-functionally with various teams
  • Design, optimize, and maintain scalable ELT data pipelines using GCP tools, focusing on BigQuery and Dataform/dbt.
  • Automate and standardize data processes to improve efficiency, reduce manual effort, and ensure consistent data flow.
  • Partner with cross-functional teams to understand business needs and translate them into technical data solutions that support data-driven insights.
  • Mentor and upskill junior engineers, fostering a collaborative and growth-oriented environment.
  • Ensure data quality through rigorous testing, analysis, and continuous improvement of data processes.
  • Own and deliver medium-scale data projects, managing end-to-end execution and stakeholder communication.

PythonSQLData AnalysisETLGCPData engineeringData visualizationData modeling

Posted about 1 hour ago
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🔥 Analytics Engineer Intern (ASO)
Posted about 1 hour ago

📍 United States of America

🧭 Internship

🔍 Healthcare

🏢 Company: healthcatalystcareers

  • Experience and comfort writing SQL code.
  • Leverage HC software and technologies to perform varied analyses in support of client outcomes improvement initiatives across clinical, operational and financial domains.
  • Design data models and visualizations that meet project requirements and comply with HC design standards and principles.
  • Ensure assigned projects are executed efficiently and according to project requirements and timelines.
  • Perform detailed data profiling and validation tests to ensure quality of measurement.
  • Understanding of Extract, Transform, and Load (ETL) processes.
  • Ability to communicate with and deliver analytics to technical, non-technical, and key stakeholders.
  • Experience developing visualizations (using Qlik, PowerBI, and/or Tableau) that consume data models for non-technical users.
  • Effective written and verbal communication, and presentation skills.
  • Desire and capability to learn new technologies (Databricks, Snowflake, etc.).
  • Work with your team to accomplish your assigned tasks and deliver value.
  • Effectively and regularly communicate status, issues, and progress of assigned tasks; Ask questions.
  • Gain an understanding of Health Catalyst culture, products, and methodologies; Grow your technical skills through practical application.
  • Identify improvement opportunities within the scope of assigned work.
  • Learn formal methods for process improvement and apply them to solve problems.

SQLData AnalysisETLCommunication SkillsData visualizationData modeling

Posted about 1 hour ago
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🔥 Data Scientist
Posted about 1 hour ago

🧭 Full-Time

🔍 Software Development

🏢 Company: Bhblasted

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
  • Understanding of data engineering practices and data architecture.
  • Familiarity with version control systems (e.g., Git).
  • Programming Languages: Python, R, Java, or Scala for data analysis and modeling; SQL for data querying.
  • Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, dplyr, or similar libraries).
  • Familiarity with specific tools (Tableau, Power BI, or Looker) and Big Data Tools (Hadoop, Spark, Hive, or Kafka for large-scale data processing).
  • Competence in Cloud architectures (AWS, Google Cloud Platform GCP, Azure for deploying models and managing infrastructure).
  • Proficiency in English (both written and spoken).
  • Collect, clean, and preprocess large datasets from multiple sources (databases, APIs, web scraping, sensors, etc.).
  • Identify and correct data inconsistencies, handle missing values, and ensure data quality.
  • Prepare data for analysis by normalizing, scaling, encoding, or aggregating it as needed.
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Develop predictive and descriptive models using supervised, unsupervised, and reinforcement learning techniques.
  • Tune model parameters to maximize accuracy and efficiency.
  • Identify and create meaningful features to improve model performance.
  • Translate data findings into actionable business recommendations.
  • Create detailed reports and presentations to communicate results to stakeholders.
  • Build interactive dashboards or visualizations for real-time data interpretation.
  • Implement ML models into production systems.
  • Create scalable data pipelines and automate processes for continuous data analysis.
  • Work with developers to integrate insights and models into business applications.
  • Ensure compliance with data privacy laws and ethical guidelines (e.g., GDPR, CCPA).
  • Maintain detailed documentation of methodologies, datasets, and workflows.
  • Protect sensitive data and ensure secure handling.
  • Work closely with business analysts, engineers, domain experts, and leadership teams.
  • Understand business needs and translate them into analytical tasks.
  • Simplify technical results for non-technical stakeholders.

AWSDockerPythonSQLCloud ComputingData AnalysisData MiningETLGCPGitHadoopJavaKafkaMachine LearningNumpyJiraTableauAlgorithmsData engineeringData sciencePandasSparkCommunication SkillsAnalytical SkillsRESTful APIsScalaData visualizationData modeling

Posted about 1 hour ago
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🔥 Data Lead
Posted about 1 hour ago

🧭 Full-Time

🔍 Tech and digital

🏢 Company: Bhblasted

  • Degree in Computer Science, Statistics, Engineering, or a related field.
  • At least 5-7 years of experience in data management and analysis, with at least 2-3 years in a leadership role.
  • In-depth knowledge of programming languages for data analysis (e.g., Python, R, SQL).
  • Familiarity with BI tools (e.g., Tableau, Power BI) and big data technologies (e.g., Hadoop, Spark).
  • Experience in creating predictive models and applying machine learning techniques.
  • Leadership skills, team management capabilities, and experience handling complex projects.
  • Excellent communication and collaboration skills.
  • Strong results orientation and problem-solving abilities.
  • Define and implement the company's strategy for data management and analysis.
  • Coordinate and supervise a team of data analysts and specialists to ensure the quality and integrity of company data.
  • Collaborate with key business stakeholders to understand business needs and translate them into data projects and solutions.
  • Monitor the performance of data management processes and identify opportunities for improvement.
  • Develop and maintain a reporting system and dashboards to enable data visualization and interpretation.
  • Ensure compliance with data protection regulations and company policies.
  • Research and implement new technologies and tools for data management.
  • Provide support in the creation and implementation of machine learning models or artificial intelligence projects for business applications.
  • Promote a data-driven culture within the organization.

LeadershipPythonSQLApache AirflowArtificial IntelligenceData AnalysisETLHadoopMachine LearningTableauSparkReportingData visualizationTeam managementData modelingData management

Posted about 1 hour ago
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🔥 Staff Software Developer, Backend
Posted about 5 hours ago

📍 Canada

🧭 Full-Time

🔍 Interior décor

🏢 Company: Leap Tools👥 101-250InternetAugmented RealityInformation TechnologyData Visualization

  • 8+ years of software development experience building and operating scalable, reliable systems in production environments.
  • Strong experience with complex ETL flows and high-throughput systems is highly preferred.
  • Deep understanding of computer science fundamentals (algorithms, data structures, networking, databases).
  • Proven experience designing and scaling distributed systems focusing on performance, observability, and fault tolerance.
  • Strong architectural instincts and the ability to make high-leverage technical decisions that impact multiple teams and systems.
  • Demonstrated ability to influence and mentor senior engineers, guide teams through ambiguity, and elevate engineering practices across the board.
  • Exceptional ownership mindset — you drive initiatives forward, raise the bar, and deliver lasting impact.
  • Excellent communication and cross-functional collaboration skills.
  • Comfortable operating in a fast-paced, high-autonomy, product-driven environment.
  • Experience with e-commerce and catalog management is preferred.
  • Familiarity with our stack (Python, Django, Kubernetes, PostgreSQL, AWS) is strongly preferred, but deep expertise in analogous systems and a willingness to learn are welcome.
  • Drive the design, architecture, and delivery of complex backend systems that enable 3D and computer vision experiences at scale.
  • Lead the development of mission-critical APIs, data pipelines, and services that support high-traffic applications used globally.
  • Partner with product and engineering leadership to define technical direction, identify foundational investments, and plan for scale and performance.
  • Serve as a force multiplier by mentoring senior engineers, conducting architecture reviews, and enabling high-quality, high-velocity development across teams.
  • Champion engineering excellence and set the technical bar for backend systems in terms of scalability, resiliency, observability, and maintainability.
  • Lead cross-functional initiatives that span multiple teams and stakeholders across the business.
  • Help shape the long-term technical vision and culture of the engineering organization.
  • Influence hiring, onboarding, and growth strategies to ensure a strong and healthy team over time.

AWSBackend DevelopmentPostgreSQLPythonSoftware DevelopmentSQLDjangoETLKubernetesSoftware ArchitectureAlgorithmsAPI testingData StructuresCI/CDRESTful APIsMicroservices

Posted about 5 hours ago
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🔥 Manager, Engineering -MarTech (Remote)
Posted about 7 hours ago

📍 United States

💸 115000.0 - 230000.0 USD per year

🔍 Insurance

🏢 Company: external

  • Fluency and specialization with Java, Python and SQL
  • Experience with AI and ML technologies including MLflow, PyTorch and VectorDBs, Scikit-learn and Langchain
  • Experience with data processing, ETL, DataRobot and Snowflake
  • Experience building products of micro-services-oriented architecture and extensible REST APIs
  • Experience building the architecture and design of new and current systems (architecture, design patterns, reliability, security, and scaling)
  • Fluency in DevOps Concepts, Cloud Architecture and Azure DevOps Operational Framework
  • Experience with application monitoring tools and performance assessments
  • In-depth knowledge of CS data structures and algorithms
  • Experience with solving analytical problems with quantitative approaches
  • Ability to excel in a fast-paced, startup-like environment
  • Exemplary ability to design, perform experiments, and influence engineering direction and product roadmap
  • Experience partnering with engineering teams and transferring research to production
  • Work with your Director to address project dependencies, negotiate and estimate incremental delivery dates for milestones with the stakeholder community, and deliver projects on time
  • Identify and raise appropriate project risks, in addition to presenting detailed and implementable solutions or alternatives
  • Understand how requirements and design choices may impact systems across multiple areas
  • Report on your team’s progress for project and other key metrics, in addition to presenting detailed and implementable ideas for areas to further improve or influence product or project delivery
  • Initiate and support performance evaluation of team members
  • Cultivate a culture that motivates all levels of performers to higher levels of achievement
  • Build and maintain relationships with your team members to support an environment of trust
  • Influence those you motivate and coach to be receptive to feedback by cultivating a culture that acknowledges and expects individuals to grow and be accountable as a result of the experience gained (growth mindset)
  • Identify where technical or analytical skill gaps put future team deliverables at risk and craft a plan to remediate, consistently challenge team members to share knowledge and learn new technologies
  • Proficiently execute difficult conversations on development and performance
  • Craft and deliver strategic and well-structured persuasive arguments to drive projects that drive process improvement, enhance cost leadership, and/or customer experience
  • Manage up to leadership as well as give feedback when appropriate
  • Administer coaching plan(s) and Performance Improvement Plan(s)
  • Craft fully compliant quality documentation
  • Compliant negotiation and execution of warning administration and/or involuntary termination
  • Develop the team budget and be accountable for reporting on results achieved at regular intervals
  • Significantly contribute to the team planning process to include surfacing associate level proposals

DockerLeadershipPythonSQLCloud ComputingETLJavaKubernetesMLFlowPyTorchSnowflakeAlgorithmsData StructuresREST APIDevOpsMicroservices

Posted about 7 hours ago
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🔥 Senior Data Analyst
Posted about 7 hours ago

📍 United States

💸 122400.0 - 195500.0 USD per year

🔍 Digital Health

🏢 Company: Headspace👥 11-50WellnessHealth CareChild Care

  • 5+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in dynamic, rapid growth environments.
  • 3+ years of experience working directly with executive leadership and product leaders, demonstrating the ability to align analytics initiatives with strategic goals.
  • 5+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization.
  • Own and drive strong business outcomes through impactful data projects.
  • Collaborate with cross-functional teams to translate complex business problems into scalable analytical frameworks.
  • Act as a trusted advisor on advanced statistical analysis, data science modeling, experimental design, methodology, and financial impact analysis, ensuring adherence to best practices across the organization.

AWSSQLData AnalysisETLTableauData scienceSparkAnalytical SkillsData visualizationFinancial analysisData modelingData analytics

Posted about 7 hours ago
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🔥 DMUS - Senior BI Engineer - Data - US
Posted about 16 hours ago

📍 United States

🧭 Employee

💸 106900.0 - 125000.0 USD per year

🏢 Company: DEPT®

  • Expertise with data visualization tools such as Tableau, Google Sheets, Data Studio is required.
  • Advanced experience developing custom SQL
  • Experience with MS SQL Server, Snowflake, Azure or other data extraction, transformation and storage tools preferred
  • Knowledge of collecting and storing data using data transfer tools such as SSIS or Matillion, and experience with Secured Storage (sFTP, S3, etc.)
  • Requires excellent organizational, written, and communication skills
  • Ability to manage multiple tasks to completion within established deadlines
  • The ability and strong desire to innovate with strong problem-solving, technical, and communication skills
  • Work with the internal teams, external partners, and the client to assess automation needs
  • Build tools that expand upon automation via DEPT’s existing systems
  • Take lead on projects and contribute to the evolution of processes by working with the team as well as independently with the goal of driving efficiency
  • Manage creation, implementation, validation and ongoing support of data visualization tools and recurring reports
  • Serve the client as an expert on data visualization best practices
  • Grow credibility with internal and external stakeholders by exceeding expectations and delivering valuable products and services
  • Develop and refine best practices and documentation around onboarding and usability
  • Contribute to the company's knowledge base by creating and sharing case studies and POVs
  • Develop logic to create an alert system for anomaly detection using Python

PythonSQLETLSnowflakeTableauAPI testingAzureData engineeringRESTful APIsReportingData visualizationData modelingData analytics

Posted about 16 hours ago
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🔥 Software Engineer -Data Engineer (Geo) - (Remote - India)
Posted about 18 hours ago

📍 India

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

  • Hands-on experience with GIS, location-based data ingestion pipelines, and AWS services such as EC2, S3, and Lambda.
  • Proficiency in Python or Java for orchestration of data pipelines.
  • Strong experience in writing analytical queries using SQL.
  • Familiarity with Airflow, Docker, and version control with Git.
  • Design and maintain data ingestion pipelines that integrate and process large datasets from multiple sources.
  • Build infrastructure for ETL (Extract, Transform, Load) processes, utilizing AWS technologies such as EC2, S3, EMR, and Lambda.
  • Collaborate with Product, Analytics, and Client Services teams to resolve data-related technical issues and ensure data infrastructure needs are met.
  • Write and optimize SQL queries to extract and analyze data effectively.
  • Participate in code reviews, ensure quality control, and test applications before deployment.
  • Contribute to the improvement of the location-based platform by proposing and implementing innovative solutions.

AWSDockerPythonSQLCloud ComputingETLGitJavaAirflowData engineering

Posted about 18 hours ago
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🔥 Business and Reporting Analyst
Posted about 20 hours ago

📍 South Africa

🔍 FinTech

🏢 Company: Employee Referrals

  • 5+ years experience with data and/or systems analysis experience, majority within a formal data warehouse environment.
  • University degree in either Business, Finance, Mathematics, Statistics, Informatics or equivalent industry training and experience.
  • Proven ability in analytics, business process analysis and presenting / communicating recommendations across all organization levels.
  • Real-world understanding of data processing and storage.
  • Relational database management systems experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server.
  • Experience writing advanced queries (SQL, PL/SQL) or stored procedures on RDBMS.
  • Advanced Excel skills.
  • Understanding of Data Governance, Agile methodologies and QA standards.
  • Critical thinking under pressure.
  • Work closely with business stakeholders to gather requirements.
  • Build scalable solutions.
  • Own and expand any data models, analytical models and reporting datamarts.
  • Translate business requirements into technical requirements for build.
  • Perform quality assurance on new and existing data sets.
  • Use advanced data query and discovery skills for ad hoc analysis.
  • Design and implement data domain performance metrics.
  • Define reporting requirements to BI Developers for build.

PostgreSQLSQLBusiness AnalysisBusiness IntelligenceData AnalysisData MiningETLExcel VBAMySQLQARDBMSAnalytical SkillsMicrosoft ExcelAgile methodologiesWritten communicationCritical thinkingReportingData visualizationData modelingData analyticsData management

Posted about 20 hours ago
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