Data Strategy

Data Strategy Developer Jobs

3 jobs found

2d ago

Database Developer

SOUTHEASTERN COMP CONSULTANTS INC Dahlgren, VA

Dahlgren, VA

2d ago

Full time Senior Cloud Architecture Data Architecture

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Job Description

This Database Developer role at SCCI centers on designing and implementing a unified enterprise data architecture across a complex system landscape, defining ontology, data standards, and modeling to govern and scale data across the organization. The position is based on site in Dahlgren, VA.

Overview

SCCI seeks a Database Developer to lead the design and implementation of a unified enterprise data architecture across a broad ecosystem of programs and platforms. The role involves defining how data is structured, governed, and scaled, while operating at both strategic and hands-on levels to establish standards, guide implementations, and tackle intricate data integration challenges. This position is based in Dahlgren, Virginia.

Responsibilities

Lead enterprise data ontology development, including core entities, relationships, and semantic standards; create canonical data models that unify disparate systems; establish enterprise data standards, naming conventions, and modeling guidelines; serve as the authoritative source on data structuring and governance.
Design complex logical and physical data models across multiple domains; architect solutions balancing normalization, performance, scalability, and usability; define patterns for structured, semi-structured, and unstructured data; guide teams in implementing consistent, reusable data structures.
Manage cross-system alignment by reconciling conflicting data models, crafting integration strategies for interoperability, defining data contracts and interface schemas between services, and eliminating redundancy and inconsistency across datasets.
Develop frameworks for structuring and integrating unstructured and semi-structured data; specify metadata tagging and classification approaches to support discoverability and governance; evaluate when to leverage relational, NoSQL, or hybrid approaches.
Establish and enforce data governance standards, including data quality, lineage, and validation rules; collaborate with stakeholders to define authoritative sources and master data domains; implement data auditing, traceability, and compliance measures.
Architect high-performance data solutions capable of supporting enterprise-scale workloads; lead performance tuning across databases, queries, and pipelines; design for scalability in cloud and hybrid environments.
Provide technical leadership to database developers and data engineers; review designs and implementations for alignment with enterprise standards; mentor team members in data modeling, database design, and best practices; influence technical direction across multiple teams and programs.
Collaborate with enterprise architects, application developers, and business stakeholders; translate domain needs into scalable data architectures; lead design reviews and communicate complex data concepts clearly.

Essential Skills and Experience

Must be a U.S. citizen and able to obtain and maintain an active Secret Security Clearance.
Bachelor’s degree in Information Systems, Computer Science, Engineering, Math, or a related technical field.
Seven to twelve plus years of experience in database development, data engineering, or data architecture.
Deep expertise in relational database design and advanced SQL.
Proven track record designing enterprise-scale data models and architectures.
Strong experience integrating data across multiple systems and domains.
Demonstrated ability to structure and model unstructured and semi-structured data.
Experience with ETL or ELT pipelines and large-scale data transformation.
Solid understanding of data governance, data quality, and data lifecycle management.

Preferred Skills and Experience

Active Secret Security Clearance.
Experience building or contributing to enterprise data ontologies, semantic layers, or knowledge graphs.
Familiarity with Master Data Management and canonical data modeling approaches.
Experience with cloud data platforms (AWS, Azure, GCP) and modern data stacks.
Knowledge of data cataloging and metadata management tools.
Experience with distributed systems and event-driven architectures.
Programming experience in Python, Java, or similar languages for data processing and automation.

Technologies

Python
Java
AWS
Azure
GCP
Relational databases
NoSQL

Benefits

Health, dental, vision, life and disability benefits
401(k) with Company Match
Paid vacation (2 weeks)
Sick and personal leave (48 hours)
11 paid holidays

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16d ago

Associate Director, Data Engineer: DSCS Digital Data Strategy

Merck Boston, MA

Boston, MA

16d ago

$129k - $203k/yr Full time Senior Analytics Associate Director

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Job Description

Merck is seeking an Associate Director, Data Engineer within the DSCS Digital Data Strategy team, based on site in Boston, MA. The role centers on designing, constructing, and governing biologics data pipelines while shaping an end-to-end data strategy to support modeling, optimization, and decision-making across Digital Insights. This position requires a PhD and at least three years of relevant experience, with a salary range of $129,000 to $203,100 per year.

Responsibilities

Own the biologics data engineering domain, maintaining broad awareness of digital projects, data sources, systems, and data flows within the domain.
Contribute to defining and guiding the DSCS Digital Data Strategy.
Design and implement robust, scalable data pipelines that ingest experimental and process data from biologics source systems including process historians, chromatography equipment, electronic lab notebooks, and analytical instruments.
Provide analysis-ready datasets to support digital initiatives, covering process characterization models, data lineage, multivariate analytics, and cross-site manufacturing connectivity.
Establish and enforce data standards, metadata schemas, and ontology mappings to ensure biologics data is interoperable and readily usable by modeling and optimization workflows.
Collaborate proactively with automation teams to anticipate when new or modified automated workflows generate new data streams requiring pipeline development and ontology mapping.
Own and govern system-of-record standards for biologics, ensuring consistent configuration and data entry across experiments, molecules, and sites.
Catalog processes, analytical methods, instruments, and digital systems within the biologics domain to create a comprehensive data-landscape map.
Create and maintain data visualizations, dashboards, and reports that enable scientists to explore process data across runs, molecules, scales, and manufacturing sites.
Contribute to the biologics digital data strategy by identifying opportunities to improve data capture at the source and reduce friction between experimentation and modeling.
Mentor and guide supporting data engineers across modalities, ensuring alignment with domain strategy and ontology governance.
Maintain and version pipeline code in GitHub, adhering to team standards for code review, documentation, and deployment.
Build strong partnerships with process development scientists, analytical scientists, and manufacturing teams to gather requirements and shape the domain's digital data strategy.
Demonstrate excellent interpersonal, communication, and collaboration skills.
Model and promote diversity and inclusion within the team, fostering a supportive culture where all can thrive.
Collaborate effectively in a dynamic, integrated, multidisciplinary environment.

Requirements

Proficiency in Python and/or R, with comfort using development environments such as Jupyter, Posit/RStudio, or VS Code.
Strong SQL skills with hands-on experience writing and optimizing queries for relational databases and data warehouses.
Experience building ETL/ELT pipelines in a scientific or pharmaceutical context.
Familiarity with cloud platforms (AWS, Azure, or GCP) for data storage, processing, and integration.
Working knowledge of how process models, multivariate analyses, and statistical tools rely on experimental data to anticipate modeler needs and deliver structured datasets.
Experience defining or enforcing data standards, metadata schemas, or ontology mappings in a scientific or pharmaceutical setting.
Familiarity with version control systems (Git/GitHub) and collaborative software development practices.
Proven ability to lead technical initiatives, mentor junior engineers, and influence data strategy across multiple stakeholders.
Ability to deliver complex solutions under compressed timelines in a dynamic environment.

Technologies

Python and R
Jupyter, Posit/RStudio, VS Code
SQL
AWS, Azure, GCP
Databricks, Delta Lake
Git, GitHub
Streamlit, Shiny
Power BI, Spotfire, Tableau
Allotrope Simple Model, ISA-88, OPC-UA

Benefits

Medical, dental, and vision coverage for you and your family
Retirement benefits including a 401(k) plan
Paid holidays and vacation time
Sick leave and compassionate time off
Annual bonus and potential long-term incentives where applicable

Preferred Experience and Skills

Hands-on biologics process development experience—such as chromatography, filtration, purification, or formulation—and a track record transitioning into data engineering, data science, or computational roles.
Experience with data pipelines and analytics platforms such as Databricks, including notebook-based development, workflow orchestration, and Delta Lake.
Proven ability to create scientist-facing dashboards and exploratory data applications using visualization tools (Streamlit, Shiny, Power BI, Spotfire, Tableau).
Familiarity with ontology frameworks or standardized data models (e.g., Allotrope Simple Model, ISA-88, OPC-UA) and data mapping from instruments to structured schemas.
Understanding of Design of Experiments and process characterization study designs to structure data for statistical analysis of CPPs and CQAs.
Experience implementing data lineage and traceability across experimental systems, materials, and manufacturing steps.
Knowledge of regulatory expectations relevant to biologics process development, characterization, and validation (ICH Q8-Q12, validation lifecycle, comparability studies).
Experience collaborating with lab automation teams to integrate data from newly automated workflows.
Experience with cross-site data integration and harmonizing data from multiple manufacturing facilities.
Evidence of cross-functional collaboration spanning laboratory, manufacturing, modeling, and digital teams.

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1mo ago

Tableau Developer

Qualit Resources, LLC Hartford, CT

Hartford, CT

1mo ago Closed

$45 - $52/hr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jun 16, 2026).

Job Description

Qualit Resources, LLC seeks a Senior Tableau Developer to oversee Tableau report development, ETL and data integration, and data migration efforts for enterprise applications. This hybrid role is based near Hartford, Connecticut, with in-office requirements.

Responsibilities

Lead the design and development of Tableau reports to meet user needs.
Contribute to the design and development of the database architecture, including relational data structures, data marts, data dictionaries, and both logical and physical data models.
Create strategies for data acquisition, data quality, and discrepancy resolution.
Assist in migrating and integrating data and processes from legacy systems to modern applications and technologies.
Develop and maintain efficient, well documented custom SQL scripts, stored procedures, and triggers using Microsoft T-SQL to support application development in alignment with business rules.
Access data across multiple database management systems such as DB2, SQL Server, and others.
Design, develop, and implement ETL/ELT solutions for data ingestion, cleansing, business rules execution, and data distribution.
Apply data analytics best practices in data modeling, ETL pipelines, and near real-time data solutions.
Coordinate with Business Analysts and users to validate requirements.
Implement solutions to integrate external data with in-house data.
Test and validate data flows and prepare ETL processes according to business requirements.
Design and implement a data conversion strategy from legacy platforms to new ones.
Perform design validation, reconciliation, and error handling in data load processes.
Optimize SSIS package execution and SQL execution to improve data load performance.
Design SSIS packages using data exchange tasks such as File Transfer and Secured File Transfer, with FTP/SFTP import/export capabilities.
Engage in all project phases, including requirements gathering, data mapping, extraction, loading, testing, troubleshooting, documentation, performance optimization, and maintenance.
Develop various Tableau reports per user requirements and deploy to report servers or integrated SharePoint report server.
Utilize dynamic grouping fields, dynamic group sorting, on-demand subreports, drill-down and summary reports, and cross tab reports to highlight key summary information.

Requirements

More than five years of experience with Tableau.
More than five years of experience writing complex SQL queries.
More than five years of expertise with T-SQL, SSRS, SSIS or Talend.
Experience debugging and improving query performance.
Experience deploying SSIS packages using Git check-ins, configuring environmental variables, and creating corresponding SQL Agent jobs.
Experience with Transact-SQL and stored procedures is desirable.
Experience creating, deploying, and maintaining Talend reports.
Experience with code control and versioning using Team Foundation.
Strong problem solving, cross-functional analysis, and forward-thinking abilities.
Flexibility to adapt to changing situations, handle multiple tasks, and meet tight deadlines.

Technologies

Tableau
SSIS
SSRS
T-SQL
Transact-SQL
SQL Server
DB2
Talend
Git
Team Foundation
SharePoint
FTP
SFTP
SQL Agent

Additional Preferred Qualifications

Experience with Salesforce
MuleSoft

Pay

Compensation: USD 45.00 to 52.00 per hour.

Work Location

Hybrid remote in Hartford, CT 06144.

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Data Strategy Developer Jobs

Database Developer

Associate Director, Data Engineer: DSCS Digital Data Strategy

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