senior data developer

Fustis LLC

<div><p><b>Job Title:</b></p>
<b>Senior Big Data Developer</b><p></p>
<p><b>Location:</b></p>
<p><b>Washington, DC - Hybrid - Locals</b></p>
<p><b>Duration:</b></p>
<p><b>12 Months</b></p>
<p><b>Work Authorisation:</b></p>
<p><b>USC, GC, GC-EAD and H4-EAD</b></p>
<p><b>Pay Rate:</b></p>
<p><b>90-100/hr. on C2C</b></p>
<p><b>Mode of Interview:</b></p>
<p><b>Virtual</b></p><br>
<h2 class="jobSectionHeader"><br>
<b>Position Overview</b></h2>
The <b>Data Architecture, Technology, and Analytics (DATA)</b> team within the Federal Reserve Board&rsquo;s Division of Research &amp; Statistics (R&amp;S) is responsible for transforming how enterprise data is ingested, organized, analyzed, and visualized to support economic research and policy decision-making.<p></p>
We are seeking a highly skilled <b>Data Architect / Data Engineer</b> to design, develop, and optimize modern data architectures, enterprise data platforms, and scalable data pipelines. This individual will play a critical role in supporting economists, researchers, analysts, and technical teams by ensuring efficient, reliable, and scalable access to data across the organization.<p></p>
The ideal candidate is a hands-on data professional with deep expertise in data modeling, database architecture, ETL/ELT development, cloud platforms, and enterprise data management. This role requires strong analytical capabilities, excellent communication skills, and a passion for building data solutions that enable advanced research and business intelligence.<p></p>
<b>Key Responsibilities</b><p></p>
Design, develop, and maintain enterprise-scale data architectures and data platforms. Build and optimize scalable ETL/ELT pipelines for ingestion, transformation, and delivery of structured and unstructured data. Develop conceptual, logical, and physical data models aligned with enterprise architecture standards. Architect and manage relational databases, data warehouses, data lakes, and modern data ecosystems. Support migration of data workflows and pipelines between on-premises and cloud environments. Implement workflow orchestration and automation using tools such as Airflow, Prefect, Dagster, or AWS Step Functions. Perform data integration across multiple internal and external data sources. Design and implement Change Data Capture (CDC) solutions for enterprise data warehousing initiatives. Optimize database performance, scalability, reliability, and data processing workloads. Collaborate with economists, researchers, analysts, and technical stakeholders to understand business requirements and deliver effective data solutions. Conduct root cause analysis of data issues and identify opportunities for process improvement and automation. Implement and maintain CI/CD pipelines and DataOps practices for data engineering projects. Support machine learning and advanced analytics initiatives through efficient data infrastructure and model deployment frameworks. Ensure data governance, security, quality, and compliance standards are followed across all solutions. Document architecture designs, technical specifications, and operational procedures. <b>Required Qualifications</b><p></p>
<b>Education</b><p></p>
Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field. Master&rsquo;s Degree or other advanced degree is preferred. <b>Experience</b><p></p>
Minimum <b>7+ years of experience</b> in Data Engineering, Data Architecture, Database Engineering, or related fields. Proven experience designing and implementing enterprise data platforms and large-scale data solutions. <b>Required Technical Skills</b><p></p>
<b>Data Engineering &amp; Architecture</b><p></p>
Strong expertise in data architecture, data modeling, and enterprise information architecture. Experience designing conceptual, logical, and physical data models. Extensive experience building and maintaining scalable data pipelines and processing frameworks. Experience implementing enterprise data warehouses, data lakes, and modern analytics platforms. Strong understanding of Change Data Capture (CDC) methodologies. <b>Databases</b><p></p>
Advanced SQL expertise. Hands-on experience with: PostgreSQL Microsoft SQL Server MySQL Experience with database administration, optimization, and performance tuning. <b>Programming &amp; Scripting</b><p></p>
Advanced proficiency in: Python R Strong scripting and automation experience. Experience with additional programming languages such as: Java Scala JavaScript Perl <b>ETL/ELT &amp; Workflow Automation</b><p></p>
Experience designing and automating ETL/ELT processes. Hands-on experience with workflow orchestration tools such as: Apache Airflow Prefect Dagster AWS Step Functions <b>Cloud &amp; Modern Data Platforms</b><p></p>
Experience working with: AWS Microsoft Azure Snowflake Experience migrating applications and data pipelines between on-premises and cloud environments. <b>DevOps &amp; DataOps</b><p></p>
Experience implementing and maintaining: CI/CD pipelines DataOps frameworks Experience with Git-based source control platforms: GitHub GitLab <b>Big Data &amp; Analytics</b><p></p>
Experience with: Distributed computing frameworks Large-scale data processing systems High-volume data workloads Experience processing structured and unstructured datasets. <b>Linux &amp; Infrastructure</b><p></p>
Strong development and deployment experience in Linux environments. <b>Preferred Qualifications</b><p></p>
Experience working with economic, financial, or regulatory datasets. Experience supporting research organizations or data-driven policy environments. Understanding of time-series data modeling, forecasting, and statistical analysis techniques. Experience with NoSQL technologies and Graph Databases. Experience developing, deploying, and maintaining Machine Learning models. Knowledge of enterprise data governance and metadata management frameworks. Experience supporting advanced analytics and AI-driven data initiatives. <b>Soft Skills</b><p></p>
Excellent verbal and written communication skills. Strong stakeholder management and customer service mindset. Exceptional analytical and problem-solving abilities. Ability to work independently and manage multiple priorities simultaneously. Strong troubleshooting and root-cause analysis skills. Detail-oriented with a focus on quality and continuous improvement.</div><p></p>

Senior Big Data Developer

Centurion Consulting Group

<p></p><div><div><div><div><div><div><div><div><p><b>Job ID: </b>5791
</p><p><b>City: </b>Woodlawn
</p><p><b>State:</b> MD
</p><p><b>Job Type:</b>
</p><p><b>Compensation:</b> $0 to $0
</p></div><div><div><p>Centurion is looking for a Senior Tableau Developer for an onsite role in Woodlawn, MD.<br>
Key Required Skills:
<br>
SME on Tableau BI Dashboard development, Data Management &amp;amp; Analysis. Strong proficiency in Tableau Desktop and SQL (PostgreSQL preferred) and NoSQL database (Mongo DB preferred) querying.</p>
<p>
Position Description:
<br>
Dashboard Development</p>
<div>
<ul><li>Develop and enhance Tableau dashboards in enterprise environments</li></ul>
<ul><li>Modify and extend existing reporting solutions.</li></ul>
<ul><li>Utilize advanced Tableau Desktop features (parameter actions, LOD expressions, relationships/joins, complex interactions, custom visualizations).</li></ul>
<ul><li>Design intuitive, visually clean, and story-driven dashboards focused on user experience</li></ul>
<ul><li>Translate loosely defined requirements into polished, functional dashboards with minimal oversight</li></ul>
</div>
<p>Data Management &amp;amp; Analysis</p>
<div>
<ul><li>Write and optimize SQL queries, especially in PostgreSQL environments</li></ul>
<ul><li>Work with messy or imperfect data; identify and resolve data quality issues</li></ul>
<ul><li>Troubleshoot and resolve Tableau performance issues (workbook optimization, calculations, filters, queries)</li></ul>
</div>
<p>Testing &amp;amp; Quality Assurance</p>
<div>
<ul><li>Deliver accurate, thoroughly tested, and low-defect dashboards</li></ul>
<ul><li>Perform dashboard testing, validation, and bug fixing, preferably in Agile/Scrum environments</li></ul>
<ul><li>Follow written technical requirements and implementation instructions with minimal rework</li></ul>
</div>
<p>Documentation &amp;amp; Communication</p>
<div>
<ul><li>Document dashboard changes, testing results, and technical implementation details</li></ul>
<ul><li>Communicate proactively regarding risks, blockers, and implementation considerations</li></ul>
<ul><li>Manage multiple enhancement requests, defects, and ad hoc analysis tasks efficiently</li></ul>
</div>
<p>REQUIRED SKILLS:</p>
<ul>
<li>8+ years of experience with analysis, design and developing systems using skills identified in this requirement.</li>
</ul>
<p>Factors To Help You Shine (Required Skills)</p>
<ul>
<li>*Selected candidate must be able to obtain and maintain a public trust clearance**</li>
<li>*Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week**</li>
<li>*Master's and 5+ years of experience, Bachelor's and 7+ years of experience or 13+ years in lieu of a degree**</li>
<li>Demonstrated experience with Tableau dashboard development and enhancement</li>
<li>Strong proficiency in Tableau Desktop and SQL (PostgreSQL preferred) and NoSQL database (Mongo DB preferred) querying</li>
<li>Experience with dashboard UX/UI principles and data quality troubleshooting</li>
<li>Experience in Agile/Scrum development environments</li>
<li>Experience in translating loosely defined requirements into polished, functional dashboards with minimal oversight</li>
<li>Strong experience writing and optimizing SQL queries, especially in PostgreSQL environments</li>
<li>Excellent Communication skills</li>
</ul>
<p>DESIRED SKILLS:</p>
<ul>
<li>Familiarity with Snowflake or cloud data warehouse concepts</li>
<li>Experience in government or public-section Agile environments</li>
<li>Tableau Certification(s)</li></ul></div></div></div></div></div></div></div></div></div>

Senior Tableau Developer

Essent

<div><p>Together, we take the next step in the energy transition. As a Senior Data Engineer &ndash; Data Core, you help our team grow from pipeline operators into fully-fledged data engineers. Your first mission? Designing, migrating, and building our pipelines into a brand-new data orchestration layer. After that, your role will partially shift towards an advisory focus: supporting the organization in making the most of our self-service platform and designing stable, &lsquo;ownerless&rsquo; (external) pipelines.</p><p>
In this role, you will work on:</p>
<ul>
<li><b>Knowledge sharing &amp; collaboration: </b>You work closely with your teammates. Through pair programming and code reviews, you support them in adopting test-driven development and engineering standards in a safe and supportive environment.</li>
<li><b>Architecture &amp; design: </b>You design scalable, distributed data pipelines and reproducible transformations.</li>
<li><b>Automation: </b>You implement secure, consistent CI/CD processes and deploy containerized data applications on modern cloud platforms.</li>
</ul><p>
Do you not recognize yourself in every single point below? No problem. We believe software engineering skills are transferable, and we hire primarily based on potential, motivation, and willingness to learn. If you have a solid foundation and the right mindset, we will support you in developing the rest of the tech stack.</p>
<p>
We are looking for an experienced developer who brings stability and enjoys creating structure:</p>
<ul>
<li><b>Data engineering:</b> You have extensive experience designing stable data infrastructures. You are comfortable modeling and processing data and enjoy making and explaining the right technical decisions together with the team.</li>
<li><b>Language-agnostic:</b> Our main language is Python, so you are familiar with it (or you have strong experience in another language and are willing to learn Python quickly).</li>
<li><b>Software engineering foundation:</b> You have solid experience as a data or software engineer in a production environment, applying best practices such as modular code, unit testing, and Infrastructure as Code to data pipelines.</li>
<li><b>Adaptability:</b> You can improve complex architectures step by step and iteratively, without disrupting production environments.</li>
<li><b>Psychological safety:</b> Your communication style is coaching and patient. You enjoy helping others grow technically without imposing rigid viewpoints.</li>
</ul><p>
We value the energy and commitment you bring. That is why we offer:</p>
<ul>
<li>A role in which you contribute to a more sustainable Netherlands</li>
<li>A gross monthly salary between &euro;5,807 and &euro;8,253</li>
<li>A bonus of 10% of your annual salary</li>
<li>30 vacation days and 8% holiday allowance</li>
<li>The opportunity to work hybrid</li>
<li>The option for a workation (by agreement)</li>
<li>Discounts on your energy bill and products from our service partners</li>
<li>A modern office within walking distance of Den Bosch station, including a coffee bar, restaurants, and fresh fruit</li>
<li>An NS Business Card or travel allowance</li>
<li>Extensive learning and development opportunities, including a personal training budget of &euro;500 per year</li>
<li>Access to training and education, also internationally through the E.ON Group</li>
<li>Most importantly: a working environment where you can be yourself. What matters to us is who you are and what you bring. That is why you do not need to include gender, age, or nationality on your CV</li>
</ul>
<p>This is a great opportunity to start as a Senior Data Engineer &ndash; Data Core at Essent. Apply before July 8. Curious about the next steps? Take a look at our application process and apply.</p><p>
Thomas Schippers +31 6 25 31 36 37</p></div>

Senior Data Engineer - Data Core

Intellibee Inc

<p></p><div><div><div><p><b>Scope of the project:</b></p><p>
Candidates should be self-motivated, team-oriented, work under limited supervision, and respond to priority tasks. Candidates must be able to independently research and design processes, create specifications, develop, lead testing, perform code reviews, actively engage with the team and stakeholders, attend meetings, provide guidance, and respond promptly.</p><p>
A Senior Data Developer is needed to support the STD / HIV program area. Project work includes transition from our current to replacement Electronic Disease Surveillance System (EDSS), the continuing Data Warehousing project, Data Pipeline improvement, and supporting new solutions for eCR onboarding and utilization. This need includes requirements gathering with customers, providing technical advice, time and effort estimates, and project documentation including status reporting. Expected work includes process development and automation, ETL solutions, advanced querying, stored procedure creation, parsing various data formats including xml and HL7, SSIS development and debugging, and reporting. The developer will help with testing, validations, user acceptance testing, deployment, and post</p><p>
implementation support. Continued support will consist of modifications to include new data elements. Ensure systems are following industry best practices to ensure strategic initiatives and compliance with federal and state regulatory laws and ensure business continuity. The candidate may also provide proactive monitoring processes for immediate identification and resolution of data processing issues.</p><p>
This position will be a part of the team responsible for supporting critical systems and environments used by our STD HIV team, the Public Health Lab, and Disease Surveillance.</p><p><b>
Daily Duties / Responsibilities:</b></p><p>
The candidate will work closely with members of the Systems Integration, Health Data Visualizations, and Database Administration teams as well as STD / HIV program staff.</p><p>
The candidate should be self-motivated and team-oriented, work under limited supervision, and respond to priority tasks. The candidate must be able to independently research and design processes, create specifications and data flows, develop ETL processes, make stored procedures, advanced queries, and reports, assist with validations, actively engage with the Team and stakeholders, attend meetings, provide guidance, and respond promptly.</p><p></p><p><br>
Participate in a team comprised of DPH and solution implementation staff providing STD HIV system and data migration support, data pipeline improvement and monitoring, data warehousing and reporting. New solutions for eCR onboarding, import and utilization will be included. Work can consist of planning, design, configuration, process development, SSIS and script coding, and automation of data flows. Will coordinate with the assigned IT Section Manager and Team Lead on daily assignments/tasks. Will coordinate and collaborate with contract and vendor staff, existing DPH staff, and other I. T. professionals working with the Office of Information Technology. Ensure assignments are completed accurately and on time, assist with problem resolution, mitigate issues, provide solutions, communicate, and escalate as needed to management, and report progress to the manager.</p><p></p><p><br>
Will advise staff on code conversions, database and query design, optimization, process improvements and automation, validations, reporting, and report creation. Work with vendors and staff on deliverables, debugging, and converting current processes to SSIS and PowerBI. This includes rewriting existing SAS solutions to conform to best practices and updated coding standards and improving efficiency, performance, and maintenance.</p><p></p><p><br>
Specific duties and responsibilities will include but are not limited to the following:</p><ul><li>
Prepare and maintain process documentation, data flows, and diagrams for assigned processes (new and existing).</li><li>
Work with end users to perform gap analysis, gather and document functional requirements, and create necessary processes</li><li>
Assist with project and time management including estimates and status reporting</li><li>
Ability to plan, organize, review, and implement associated project milestones to completion.</li><li>
Process Development, Process Automation, and ETL Solutions</li><li>
SQL stored procedure creation, advanced query design, debugging, and optimization (MS T-SQL)</li><li>
Rewriting of SAS code into SSIS Packages and Power B.I.; SSIS Debugging, Rewriting and optimization of remaining SAS code and queries as needed.</li><li>
Data Pipeline and Reporting Development, Modification, Improvement, and Monitoring</li><li>
Help format and automate data uploads into the Data Warehouse and Disease Surveillance Systems like CDC SAMS / eHARS and the new Electronic Disease Surveillance System (EpiTrax)</li><li>
Parsing of multiple data formats including xml\\\, csv, SOAP, HL7</li><li>
Assist with system, data and database migrations and related changes, testing, and validation</li><li>
Help with eCR solutions including condition authoring, data import and utilization, process automation and troubleshooting, and data review, analysis, and reporting</li><li>
Monitor production processing to ensure proper data flow and response times</li><li>
Help to perform and automate daily maintenance processes</li><li>
Debug, troubleshoot, and optimize new and existing processes.</li><li>
Resolve processing issues.</li><li>
Support related server, database, software upgrades, and new environment configuration</li><li>
Ensure maximum system uptime for critical components to ensure business continuity.</li><li>
Advise the Team on best practice and techniques. Mentor team and staff on advanced topics.</li><li>
Modification / rewrite of existing processes and creation of new processes to be compliant with agency security requirements and following industry best standards</li></ul><p>
The candidate will work closely with the Systems Integration Section Manager and Project Manager(s) to identify, prioritize, and schedule workload and implementation to I. T. standards and procedures. The candidate will also work closely with customers and subject matter experts on process design, migration to the platforms, and testing.</p><p></p><p><br>
This will also include compliance with DPH security policy/procedures and integrating systems, when possible, to streamline staff workflows, user security, data analytics, and reporting.</p><p><b>
Module support of the project.</b></p><ul><li>
DPH will require that selected personnel sign the DPH confidentiality agreement and/or Business Associate (BA) agreement if applicable. All web services must be secure.</li><li>
DPH will not accept any offers including an &ldquo;up-lift&rdquo; charge. The rate paid per consultant must not exceed the maximum rate established for this position described in the State contract terms.</li><li>
Follow agency IT Standards, policies, and procedures to include documentation.</li><li>
All source code (compiled and un-compiled) will become the sole property of the South Carolina Department of Public Health. Any source code, data, product, or functionality resulting from this SOW or previously owned/developed by DPH will remain the sole property of DPH and is not to be incorporated into the core product of any vendor's application. Any modifications and interfaces developed under said contract will not be used by the contractor for any independent project of the contractor or published or publicized by the contractor without written permission of DPH.</li><li>
DPH has the final say on all programming choices.</li></ul><p><b>
DPH Support:</b></p><p><b>
DPH will provide:</b></p><ul><li>
All required information including formulas, data, and mechanisms to check output.</li><li>
Staff to assist with any application or data questions.</li><li>
Conference rooms and scheduling for any application demos.</li><li>
A virtual workstation with required software.</li></ul><p><b>
Required Skills (rank in order of Importance):</b></p><ul><li>
3+ Years of Experience with MS T-SQL (Stored Procedures, Advanced Queries, Optimization)</li><li>
3+ Years of Experience with ETL Process Development</li><li>
1+ Year of Experience with SQL Server Integration Services (SSIS)</li><li>
3+ Years of Experience with Report Development</li><li>
3+ Years of Experience with Data Warehousing &amp; Relational Databases</li><li>
1+ Year of Experience HL7 v 2.3.1 -</li><li>
2.5.1 and ORU Messages</li><li>
3+ Years of Experience with XML</li><li>
3+ Years of Experience with MS SQL Server 2016+</li><li>
1+ Year of Experience with security and data classification related to CDC, HIPAA, CJIS, PHI, PII</li></ul><p><b>
Preferred Skills (rank in order of Importance):</b></p><ul><li>
Ability to manage large data sets (1 TB+)</li><li>
Requirements Gathering &amp; Documentation</li><li>
Public Health / Disease Surveillance Systems Experience</li><li>
Statistical Analysis System (SAS)</li><li>
LOINC / SNOMED</li><li>
FASTQ FILES AND DEMULTIPLEXING</li><li>
R &amp; RStudio</li></ul><p><b>
Environment / Tools</b></p><ul><li>
Microsoft SQL Server (2016+), T-SQL, SSMS</li><li>
SQL Server Integration Services (SSIS) and ETL/Data Pipeline development</li><li>
Data Warehousing environments and reporting tools (e.g., Power BI)</li><li>
HL7 v2.x (including ORU), XML, CSV, and other structured data formats</li><li>
Healthcare/public health data systems (e.g., EDSS, eHARS, CDC reporting systems)</li><li>
Electronic Case Reporting (eCR) and data exchange integrations</li><li>
SAS (legacy processes) and scripting for data transformation</li><li>
HIPAA, PHI/PII, and CDC data standards and security compliance</li></ul><p><b>
Additional Skills (rank in order of Importance)</b></p><ul><li>
Ability to deal effectively with the needs of technical peers, technical and user management, users, vendors, and staff members, and to communicate clearly and effectively in spoken and written form</li><li>
Solid background in data integration, staging, quality and distribution</li><li>
Excellent written, oral, and interpersonal communication skills</li></ul><p><b>
Benefits at IntelliBee</b></p><ul><li><b>
Long-Term Stability:</b> Join us on a multi-year opportunities with room to grow.</li><li><b>
Comprehensive Health Coverage:</b> Access quality healthcare benefits to keep you and your family well.</li><li><b>
Future Planning:</b> Enroll in our 401(k) program and invest in your financial security.</li><li><b>
GC Assistance:</b> We support immediate Green Card processing, if required.</li></ul></div></div></div>

Lead SQL Database Developer

TMC Middle East

<div>
 <p>
  TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 </p>
 <p>
  We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Position: Senior Data Scientist
 </p>
 <p>
  Location: Abu Dhabi
 </p>
 <p>
  Experience: 8+ Years
 </p>
 <p>
  Preferred: Western &amp; Diverse candidates
 </p>
 <p>
  <br/>
 </p>
 <p>
  Technical Requirements
 </p>
 <p>
  ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
 </p>
 <p>
  Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 </p>
 <p>
  techniques.
 </p>
 <p>
  ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
 </p>
 <p>
  prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 </p>
 <p>
  ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 </p>
 <p>
  familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 </p>
 <p>
  data extraction from specialized formats is a significant plus.
 </p>
 <p>
  ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 </p>
 <p>
  (Flask/FastAPI) and integrate them into larger software architectures.
 </p>
 <p>
  ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 </p>
 <p>
  identifying and mitigating biases in datasets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Professional Qualifications
 </p>
 <p>
  ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 </p>
 <p>
  track record of deploying models into production environments.
 </p>
 <p>
  ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 </p>
 <p>
  construction regulations, defense standards, supply chain taxonomies) and translate them
 </p>
 <p>
  into logic.
 </p>
 <p>
  ● Structured Delivery: Experience working in structured delivery models
 </p>
 <p>
  (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
 </p>
 <p>
  ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 </p>
 <p>
  Backend Engineers, and Product Managers to align model outputs with real-world
 </p>
 <p>
  business logic.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Please share your CV with the title of
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 </p>
</div>


Senior Data Scientist

Data Idols

<div><h2 class="jobSectionHeader"><b>Senior Data Scientist</b></h2>
<h3 class="jobSectionHeader"><b>Salary: &pound;85K &ndash; &pound;95K</b></h3>
<h3 class="jobSectionHeader"><b>Location:</b><b> London (Hybrid &ndash; 3 days per week)</b></h3>
<p>
Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.</p>
<p>
Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they&rsquo;re now looking for a Senior Data Scientist to own one of the most important parts of the company.</p>
<h3 class="jobSectionHeader"><b>
The Opportunity</b></h3>
<p>
This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.</p>
<p>
You&rsquo;ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you&rsquo;ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.</p>
<p>
You&rsquo;ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.</p>
<p>
Working alongside highly experienced founders and recognised experts in machine learning, you&rsquo;ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.</p>
<p>
This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.</p>
<h3 class="jobSectionHeader"><b>
Skills &amp; Experience</b></h3>
<ul><li>Strong commercial experience building machine learning models in Python</li>
<li>Excellent understanding of predictive modelling, classification or propensity modelling</li>
<li>Experience with feature engineering, model evaluation and experimentation</li>
<li>Comfortable working across the full machine learning lifecycle</li>
<li>Experience working with cloud platforms and modern ML tooling</li>
<li>Curious and analytical mindset</li>
</ul>
<p>If you&rsquo;re looking for a role where you&rsquo;ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we&rsquo;d love to hear from you.</p>
<h2 class="jobSectionHeader"><b>
Senior Data Scientist</b></h2></div><div></div>

IntelliLink Technologies

<div><h3 class="jobSectionHeader"><b>Job Description
</b></h3>Sr. Data Engineer is needed to perform the following duties: Build streamline pipelines leveraging various AWS services including Lambda and Glue for data processing, ingestion, transformation, feature engineering, and business analysis. Leverage AWS Event Bridge, EMR and Step Functions to create a streamline data pipeline to invoke Lambda and Glue jobs with batch based and event-based triggers, finally ingesting transformed data into Snowflake. Develop custom PySpark and Scala coding to perform data transformations such as filtering, cleansing, mapping, handling null values and improving data quality. Improve efficiency by optimizing complex SQL queries in Snowflake, implementing data partitioning, and indexing strategies for parallel processing, and reduced pipeline complexity. Leverage python and its multiple packages to create functions to create derived variables from existing variables, performed end-to-end testing, unit testing, integration tests, and exceeded the required sonar coverage.Bachelor's Degree is required in Computer Science or Computer Engineering or Information Systems or Business Analytics.<br>
<h3 class="jobSectionHeader"><b>Job Tags
</b></h3>Senior data engineer, sr. data engineer</div><div></div>
<br><div><b>Job Details
</b><div><div>Job Ref Code:
</div><div><b>APM-116</b>
</div></div><div><div>Job Category:
</div><div><b>Senior Data Engineer</b>
</div></div><div><div>Job Location:
</div><div><b>Princeton, NJ</b>
</div></div><div><div>Work type:
</div><div><b>fulltime</b>
</div></div><div><div>Job Posted On:
</div><div><b>23 Jun 26</b>
</div></div><div><div>Job Platform:
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Sr. Data Engineer

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